stanford phd cs deadline

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This is the old Stanford Computer Science website for archival purposes, information found on this page maybe outdated and inaccurate. Please visit the New Stanford Computer Science web site for up-to-date information

Ph.d. and ms programs.

The Computer Science deadline to apply for Autumn entry quarter 2022-23 is Tuesday, December 7, 2021 at 11:59 pm (PST). The online application is found at https://gradadmissions.stanford.edu/apply/apply-now  and will open around beginning October, 2021. We have only one admissions cycle for MS (including HCP) and PhD programs . 

The Knight-Hennessy Scholars (KHS) application deadline is October 6, 2021, 1:00pm PST. KHS is an optional scholarship program. 

The Student-Applicant Support Program   SASP is an optional program intended to give application feedback to underrepresented students in advance of the department deadline.

Knight-Hennessy Scholars

The  Knight-Hennessy Scholars  program is designed to build a multidisciplinary community of Stanford graduate students dedicated to finding creative solutions to the world's greatest challenges. The program awards up to 100 high-achieving students every year with full funding to pursue a graduate education at Stanford, including the M.S. and Ph.D. in Computer Science. To be considered, you must apply to Knight-Hennessy Scholars by October 6, 2021 and separately apply to the Computer Science department.

Student-Applicant Support Program

The Student-Applicant Support Program aims to assist underrepresented students as they apply to Stanford’s CS PhD program. To be eligible you must be applying for the CS PhD program at Stanford this year and self-identify as underrepresented in Computer Science.

Applicants may receive one round of meaningful feedback on their resume and statement of purpose from a current PhD student (capacity limited). Participation in the Student-Applicant Support Program is separate from the admissions process and does not guarantee admission.

To participate in the Student-Applicant Support Program, please submit your application materials by 11:59PM PST on October 29, 2021. If your submission is complete, you may expect to receive feedback by November 15, 2021.

All application deadlines are final . Applications will  not  be accepted after the deadline.

Stanford Current Students Only

Coterminal program (undergraduates only).

The Computer Science MS-Coterminal program application deadline (11:59pm PST) will be:

Please note that you are only allowed to apply to the CS Coterminal Program for a maximum of 3 attempts.

The online application for MS-Coterminal program can be accessed at:  https://studentservices.stanford.edu/apply-coterm

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This is the old stanford computer science website for archival purposes, information found on this page maybe outdated and inaccurate. please visit the new stanford computer science web site for up-to-date information.

The Computer Science deadline to apply for 2023-2024 academic year is is now closed. The online application is found at  Applying | Graduate Admissions and will go live again in September 2023. We have only one admissions cycle for the PhD program.

The application deadline is  final. Applications will not be accepted after the deadline.

Gates Computer Science Building 353 Jane Stanford Way Stanford, CA 94305

Phone: (650) 723-2300

Admissions : [email protected]

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Master's Admissions

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The MS program is excellent preparation for a career as a computer professional, or for future entry into a PhD program at Stanford or elsewhere. Individual programs can be structured to consist entirely of coursework or to involve some research. Students more interested in research, may pursue a "MS degree with distinction in research". See the "Research or Project Requirement" section of the Stanford Bulletin for more information.

Entering the MS program is by no means a guaranteed path to a PhD at Stanford. Admission into the PhD program for current MS students is far from assured. However, students admitted into the MS program may gain experience to demonstrate academic potential at Stanford, and perhaps to align with a faculty member in research.

Eligibility

To be eligible for admission in a Stanford graduate program, applicants must meet:

• Applicants from institutions outside of the United States must hold the equivalent of a United States Bachelor's degree from a college or University of recognized good standing. See detailed information by region on  Stanford graduate admissions website. 
• We advise prospective applicants to review the  CS Foundation requirements and  Stanford ExploreCourses to evaluate prerequisites for graduate-level courses in Computer Science.

Any questions about the admissions eligibility should be directed to  [email protected] .

Application Checklist

Completed Online Application must be submitted by the CS application deadline. The online application can be found  here .

Application Deadlines

For all graduate admission applications, the deadline is final and submissions will not be accepted after the deadline has passed.

How to get into the Stanford Computer Science PhD program

Alexander Johansen

Like many others, after watching the Coursera Machine Learning course by Andrew Ng, I got the bright idea to pursue a PhD in CS at Stanford.

Everyone, including their grandmas, have read Elon Musk tweets and seen the $400k starting salaries at Google Brain. Even mediocre CS PhD programs in AI will get upwards of 100 applicants per opening.

With a lot of sacrifices, people telling me I was crazy, feeling defeated, I was eventually admitted into the program. I can’t recommend pursuing the same path if you value your sanity- in fact, my goal with this post is to deter you from pursuing a competitive PhD program. However, if you’re one of those few obsessive try-hards like me, or you just want to know what a solid grad school application looks like — this post is for you.

If you apply to the most competitive CS PhD’s in AI (Stanford, Berkeley, MIT), and you’re not from a super well-recognized school with good LORs, you need a 1st author top conference/journal paper to get accepted. Reach out to professors you want to work with and expect to commit 30–60 hours/week for 6–9 months to achieve it. Here’s a link to my SOP that got me accepted to Stanford CS PhD in 2020, and the Latex resume template I used.

Applying to less competitive PhD programs can make admission easier and not require a publication already. Some top schools will have programs that are less applied to. In general, the CS PhD in any AI topic will be VERY competitive. If you do applications (Bioinformatics, MedTech) admission will be easier.

If you’re interested in MedTech and optimal human health, I run a research lab at Stanford-Health.github.io to promote health data in CS. Follow me at @AlexRoseJo .

What is a PhD in the US?

What is a PhD, Content, Money, Internationals (including me)

What is a US PhD? : A PhD in the US is a 4–7 year graduate program that teaches you how to conduct independent research in a sub-field of science. You can apply for a PhD in the US after completing a bachelor’s degree (in Europe you need an MSc to apply for a PhD).

Content : In a PhD program, you will divide your time between taking coursework, doing research, and teaching classes at the university. Occasionally, you get to go to conferences, showcase your work, and “network” with other PhD students.

Money : A typical US PhD pays for your tuition and provides a small stipend for living expenses. Most programs will allow you to do summer internships, which can often be quite lucrative if you’re in STEM or Finance (Upwards of $100/hr).

US universities pays PhD students between $500-$3000 and covers tuition costs for 9–12 months/yr

Internationals : However, if you are international you might have certain restrictions on internships through your visa type (F1 is minimum 9 months of study before any internships due to CPT, and you are limited in the number of internships).

Why do a PhD?

Interest, Career, Startups, Work visas.

Interest : A PhD allows you to delve deeper into your topic of interest and contribute to the forefront of research within that topic. You will learn the methods of research, how to critically read papers, and how to contribute to academic work.

Career : After a PhD you can choose to pursue a career in industry or academia. In industry, a PhD in CS can be highly valuable- especially in tech hubs like the Bay Area. In academia, a PhD can also lead to a career as a professor. However, unless your PhD is very successful, you might have to “extend” your PhD by taking on a post-doc position (often 2–5 years of additional research and low salary) as there are a limited amount of professorships.

In academia, a PhD is required to pursue a professorship.

Start-ups : A PhD is 4–7 years of funding, free access to undergrad interns (if you can recruit them), and many smart people with interesting research ideas. This makes for fertile grounds for generating IP and at Stanford, we have major VC funds located next to the university.

Work visas : many countries, including the US, have special visa categories for individuals who have participated in academic paper reviewing and publications (e.g. O-1).

With the H1b restricted , many companies will not take on hiring internationals without a PhD or US MSc

What does an application contain?

Applications are department-dependent. Some schools (like Stanford) will only allow you to apply for one department whereas in other schools you can apply for multiple departments per cycle (annual application deadlines are usually by the 1st of December). Most departments will ask you for:

• List of publications
• Statement of purpose (SOP)
• 3–4 academic letters of reference
• Contributing Factors to [University] Community
• TOEFL scores (for internationals)
• GRE scores (some schools have removed these, including Stanford CS PhD)

In this blog post, I will highlight what I believe makes a superior PhD application and how to get research experience.

How difficult is it to get in?

Application process, Difficulty, Fields to avoid, Why to avoid CS for AI, Randomness

Application process : At Stanford, they do an initial sorting of the applicants from each department (E.g. Computer Science , ICME , Genetics ). They reduce the applicant pool and cluster the applicants based on interest. E.g. at Stanford, we have Theory groups, Security, AI, Bioinformatics, and a few others within the Computer Science department. After the initial reduction and clustering, your profile is shown to the professors of the group of interest. They compare you with the other applicants within your specific field. Eventually, they will pick an applicant that they could see themselves working with.

Getting accepted depends solely on the other applicants that year who applied with that sub-field of interest.

Difficulty : I’ve seen people get rejected with several ICLR first-author papers (Stanford CS, reinforcement learning interest), and others get accepted with no papers and 80 percentile GRE scores (Stanford ICME, biocomputation).

If you are strategic about your application you can most likely get into a way better school than you think.

Why avoid CS for AI : There’s no denying that machine learning is popular and many PhD positions today revolve around AI. However, the CS department might not be the best place to pursue it. Doing AI in the CS department is usually more methods-oriented and applications can often be far removed. Moreover, applying for another department might still allow you to work with the professors you want and can even have other benefits such as fellowship (CS at Stanford gives no fellowship, whereas many of the bioinformatics programs do).

Anything related to flavor-of-the-month AI (NLP, CV, RL) will pit you against 1600 other 4.0 Ivy league applicants for the CS PhD.

Randomness : Don’t feel disheartened by a rejection, three months before being accepted into Stanford I got rejected by the Technical University of Denmark because they used MSc GPA thresholding as their main metric (which I’m happy they did!).

What is valued in the PhD application?

Universities, Professors, Admittance, Recommendation

Universities : A five-year scholarship is a big commitment from the university, they want to reduce risk. By picking students with degrees from Ivy universities, LORs from labs they respect, and proven experience of conducting independent research, they reduce the risk of you dropping out or not having the skills and knowledge necessary to become a successful academic.

Universities are conservative in their evaluations

Professors : are busy, they have 20–100 other people in their labs, courses to teach, grants to write, and start-ups to make. They don’t have time to teach you the ropes and will likely pick an independent student.

Admittance : If I were to guess, 60% of the Stanford CS PhD cohort are straight from a handful of top universities straight from undergrad with a LOR from an esteemed lab.

Recommendation : If you don’t have that luxury, like me and many others, then you need to prove you’re an independent researcher.

Focus on proving that you can be an independent researcher .

How do I prove that I’m an independent researcher?

Publications, Why publications are important

Publications : You, independently, publishing a top paper in your respective field is the best way to prove that you’re an independent researcher.

“A top Ph.D. program for AI will unfortunately require a top publication already . If you don’t have an ACL/EMNLP/CVPR/ICCV/ICLR/NeurIPS or ICML paper, it is a very low probability you will get in.” — Top 5 program CS admission committee member

With the popularity of AI and CS, the comments from a Top 100 CS program in AI will be the exact same.

If you want to set yourself apart you should prove that you can be successful in the role of a PhD student, by publishing novel research papers.

Why publications are important : As a PhD student your job is to push the boundaries of science. In contemporary society, we have decided that our way to acknowledge contributions is through publications. The rating system for the value of your publication is the venue it presented at, what titles it might have and the citation count. Highlighting you can be successful at that is your biggest chance to get accepted. Here, independence is paramount.

Where do I get research opportunities?

Connect with a university, Commitments

Connect with a university : Getting a novel research idea on your own and publishing it in top AI conferences is very, very difficult. I’ve only seen it once. A much easier route is to connect with a research lab, perhaps even the one you’re interested in joining. This way, you can get access to feedback, research ideas, projects, and computational equipment.

Ask if you can volunteer on research projects at a university.

Commitments : Even with this access, it is still a steep hill to climb and I recommend it only if you’re dedicated and can work independently.

You can expect to spend 6–9 months working 30–70 hours a week from the initial meeting to the submission of the article.

Even with hard effort, there’s no guarantee that the research will actually lead anywhere. That has been the case several times for me, and 6 months can easily vanish. This is the nature of research.

In my time of supervising students, I have had about 60 pass through my lab and 4 have been successful with top paper submissions, which subsequently have led them to offers for Ph.D. (UCSD, NYU, Stanford, MILA) and job offers (Google Brain, Facebook AI) , even though they came from unrecognized universities outside the US. Those four students all had the same thing in common, exceptional abilities and extraordinary dedication.

As I mentioned in the beginning, you have to be one of those obsessive try-hards. Each of the students who succeeded had to face major obstacles and reinvent their project multiple times to find a novel and interesting angle. At the end of their projects, they were world-leading experts in the field.

Andreas Madsen’s blog post details his personal journey of what it took to get an independently written top AI paper.

How to write the statement of purpose (SOP) and letters of reference (LOR)

Content of SOP, Independence, Relation between SOP and LOR, LOR writing

Content of SOP : There are many opinions on what a statement of purpose should contain. My approach is to use the SOP to highlight projects that emphasize my ability to conduct independent research, why I’m interested in pursuing research, and finally, which professors and projects might align with my interests. I did not put much emphasis on the latter part. I don’t believe that proposing research ideas or elaborate intentions are worth including. Here is my SOP .

No one cares about good intentions , sorry!

Independence: Instead, to maximize the amount of credit in the eyes of the reviewer, you want to emphasize how you did this amazing research project independently out of your own interest. Even better, if you can highlight how you did it while balancing a full-time job or getting straight A’s.

Relation between SOP and LOR : If your SOP states how you independently came up with this razor fast piece of TensorFlow code that reduced the runtime of this massively important algorithm, then the professor you worked under should highlight this in their recommendation. You can lie in your SOP, or overstate an achievement, but an accomplished professor’s recommendation is more trustworthy in the eyes of the admission office.

Get LORs from the projects you are highlighting in your SOP

LOR writing : While this is one of the more disputed opinions, I believe you should draft the LOR yourself and send it to the professor for fine-tuning. You want the LOR to support your statements in your SOP and drafting your own LOR makes that much easier. Moreover, professors are busy and will often use the same template for all recommendations they write.

Writing the LOR yourself ensures its accuracy, relation to the SOP, and quality

Contributing Factors to [University] Community, Resume, Testing

Contributing factors, Resume, Testing

Contributing factors : This is a section I’ve come across in US PhD applications (Stanford, Berkeley). I choose to use this section to elaborate on how my upbringing and social experiences differed from the American system. I argued how this difference has lead to unique social competencies and inclusion values. Everyone has something unique, focus on that. I don’t think you can go wrong in this section unless you really try.

Resume : I use an overleaf template and provided three pages for the Stanford application. Some universities have restrictions on the number of pages, this is my resume (please notice that it is updated since I got admitted, I didn’t have this many papers when applying).

Testing : For internationals, you are required to take a TOEFL test, which is an English language test. I scored 108 out of 120 on mine. For graduate studies, the GRE is sometimes required, sometimes not. I did not get a very high GRE score as I had a concussion while taking it. I believe the GRE is mainly used by MSc programs and the admission committee at Stanford must not have given it very high emphasis.

How will I ever get into a PhD

I graduated my undergrad with a 3.6 GPA in Business Administration and 0 papers. It took me a long and unconventional route to get here. You will have to believe in yourself and ignore the naysayers, there are plenty of unsuccessful people in the world who will say you can’t do it.

Final words

I hope now that you have a clearer picture of what a PhD is, how the degree might help your career, what a successful application might look like, and how you can prove you are an independent researcher to the admission committee. If you’re still adamant about getting a PhD at a competitive institution in the US I applaud your will and wish you the best of luck! If you have any burning question that has not been answered in this blog post then write to me @AlexRoseJo and I will do my best to respond.

Written by Alexander Johansen

Stanford CS PhD student, alrojo.github.io

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Application requirements for all doctoral programs (phd).

All of our doctoral programs are designed to develop outstanding educational researchers who have a deep understanding of the scientific, practical and policy issues they study. All require full-time study, and we promise five years of full-time financial support for every student we admit. Our doctoral programs are small, typically ranging from about 25 to 35 new students a year. The small size of our doctoral cohorts creates big educational advantages for students: the classes are almost always small, students receive individualized attention from their advisors, and they have many opportunities to develop close collegial relationships with fellow students.

It is extremely important to demonstrate in your statement of purpose that your interests converge closely with the current research of faculty who work in the program to which you are applying. Other doctoral applicants will certainly do this, and if you don't, you will forfeit an important competitive advantage to them. 

If you wish to contact faculty, please read our Which Degree Which Program article, by Professor Eamonn Callan, which outlines the appropriate process for contacting faculty with whom you share research interests. 

• Program website:  Degrees and Programs/PhD
• Length of Program:  5 years (average length)
• Tuition: fellowship/assistantship salary and tuition guaranteed for first five years of the program (autumn, winter and spring quarters) for all students, including international students. Funding includes two summers.

Application Requirements:

Application form.

Complete and submit Stanford's graduate online application .

Application Fee

The application fee is $125 , is non-refundable, and must be received by the application deadline.

Application Fee Waivers

Stanford offers three types of application fee waivers for which GSE applicants may apply and be considered:

• GRE Fee Reduction Certificate-Based Waiver
• Diversity Program Participation-Based Waiver
• School-Based Waiver

Please visit the Stanford Graduate Diversity website for instructions, deadlines, and the fee waiver application form.

Statement of Purpose

A Statement of Purpose is required. Your statement should be typed, single-spaced and should be between one to two pages . Describe succinctly your reasons for applying to the proposed program, your preparation for this field of study, and why our program is a good fit for you, your future career plans, and other aspects of your background as well as interests which may aid the admissions committee in evaluating your aptitude and motivation for graduate study. You may indicate potential faculty mentors as part of your study and research interests. Be sure to keep a copy for your records. What's a Good Statement of Purpose?

A resume or CV  is required of all applicants, depending on which document is most appropriate for your background. There is no page limit for resumes or CVs, though we typically see resumes of one page in length. Please upload your resume or CV in the online application.

Three (3) Letters of Recommendation

Applicants are required to submit three letters of recommendation . In the online application, you will be asked to identify your recommenders and their email addresses. Please notify your recommenders that they will receive an email prompt to submit their recommendation online. You can submit your request for letters of recommendation through the system without submitting the entire online application.  Stanford GSE only accepts online recommendations through the application system ; Stanford GSE cannot accept mailed, emailed or faxed recommendations.

Recommendations should be written by people who have supervised you in an academic, employment, or community service setting. We very strongly recommend that at least one of these letters be from a university professor familiar with your academic work. Your recommendations should directly address your suitability for admission to a graduate program at Stanford GSE.

It is the applicant's responsibility to ensure that all three letters of recommendation are submitted through the system by the application deadline , so please work closely with your recommenders to remind them of the deadline.

College and University Transcripts

Transcripts are required from every college and university you have attended for at least one academic year as a full-time student. When submitting your online application, transcripts should be uploaded to the application as a scanned copy or PDF ; this is sufficient for the application review process. Please refrain from sending a secured PDF/transcript with a digital signature as our system cannot upload these properly. The best way to ensure we receive an upload-able document is for you to print out the secured transcript, scan it, and upload the scanned copy (not to exceed 10MB) as a PDF. 

If you earned a degree at the institution from which you are submitting a transcript, please ensure that the degree conferral date and the degree conferred is clearly visible on the document. If you are currently enrolled in a degree program and will not have earned the respective degree by the time of submitting your GSE application, you should submit your most recent in-progress transcript from your institution.

Only if admitted will we contact you with instructions on sending two copies of your official transcripts to our office. We cannot accept mailed, emailed or faxed copies of your transcripts during the application process. Please note: the instructions for sending transcripts on the online application and on the general Stanford Graduate Admissions Office website differ from this Stanford GSE requirement.

Concerning course work completed in a study abroad program

If the coursework and grades are reflected on the transcript of your home institution, you do not need to submit original transcripts from the study abroad institution.

Concerning foreign institutions

If your institution provides a transcript in a language other than English, we require that you submit a translation of the transcript that is either provided by the institution or a certified translator. Translations must be literal and complete versions of the original records.

If your transcript does not include your degree conferral date and the degree conferred , please submit a scanned copy of your diploma, a conferral statement, or a conferral document in addition to your transcript . If you are currently enrolled in a degree program and will not have earned the respective degree by the time of submitting your GSE application, you should submit your most recent in-progress transcript from your institution.

Stanford University requires the Test of English as a Foreign Language (TOEFL) from all applicants whose native language is not English. The GSE requires a minimum TOEFL score of 250 for the computer-based test, 600 for the paper-based test or 100 for the internet-based test in order to be considered for admission. The Test of Written English (TWE) portion of the TOEFL is not required. Applicants who have completed a four-year bachelor's degree or a two-year master's program (or its equivalent) in the U.S. or at an institution where English is the main language of instruction are not required to take the TOEFL. For more information on TOEFL requirements, please refer to the Required Exams  page on the main Stanford Graduate Admissions website. You may register for the TOEFL test directly at the ETS website .

TOEFL Dates and Deadlines

PhD applicants who are required to take the TOEFL should plan to take the internet-based TOEFL test and have official TOEFL scores sent electronically to Stanford at institution code 4704 (department code does not matter) no later than November 1 . This will give your official TOEFL scores time to be sent from ETS and be received by our system in time for the December 1 deadline. PhD applicants to Knight-Hennessy Scholars should plan to take the internet-based TOEFL test no later than October 16 so your scores can be received by our system in time for the November 16 KHS GSE deadline. Please note that the TOEFL may be taken no earlier than 18 months prior to the application deadline.

Does Stanford accept tests other than TOEFL?

No. We accept only TOEFL scores; we do not accept IELTS or other test scores.

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Recommendations

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Three letters of recommendation are required for your application.

Choose Your Recommenders

Letters of recommendation should come from academic or professional references who know you well and are qualified to evaluate your potential for graduate study. It is strongly recommended that at least one of these letters be from a university professor familiar with your academic work.

Refer to your  graduate program’s website to check whether it offers specific guidance on choosing your recommenders.

Register Your Recommenders

Register your recommenders in the online application as early as possible to ensure their letters are received by the application deadline.

• After you enter your recommender’s information, the application system sends a personalized link to that individual to submit the recommendation online.
• After your recommender submits the recommendation letter, you will receive an email notification.
• You may manage your recommenders on the same Recommendations page where you registered them. This includes sending reminder emails and changing recommenders. You continue to have access to this page after you submit your application.

Note: Departments in the School of Engineering will NOT accept letters of recommendation via Interfolio submission. This includes: Aeronautics and Astronautics, Bioengineering, Chemical Engineering, Civil & Environmental Engineering, Computer Science, Electrical Engineering, Management Science & Engineering, Materials Science & Engineering, and Mechanical Engineering. 

Recommendation Form

Each of your recommenders are asked to respond to the following questions:

• Undergraduate students
• Master's level students
• Doctoral level students
• Other (please specify)
• How many years have you evaluated people in this group?
• Approximately how many people are in this group, totaled over those years?
• Second quarter
• Third quarter
• Bottom quarter
• No basis for judgment
• Strongly recommended
• Recommended
• Recommended with reservations
• NOT recommended

Recommendation Letter

The general prompt for the recommendation letter is:

Please write candidly about the applicant’s qualifications, potential to carry on advanced study in the field specified, intellectual independence, capability for analytical thinking, ability to organize and express ideas clearly, and potential for teaching. Descriptions of significant actions, accomplishments, character, and personal qualities related to scholarly achievement are particularly helpful.

The exact prompt displayed to the recommender may differ depending on the graduate program you select.

Refer to your  graduate program’s website  to check whether it offers specific guidance on what recommenders should include in their letters.

Your recommenders must be the sole authors of your letters of recommendation. Drafting, writing, translating, or submitting your own reference, even if asked to do so by a recommender, is a violation of our application terms. You are responsible for informing your recommenders of this policy.

2022-23 Tuition Refund Schedule

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Tuition is refunded on a per diem basis starting with the first day through the first 60 percent of the term for each quarter. The per diem tuition rates for 2022-2023 are listed below. Example: an undergraduate who withdraws from Stanford on the 10th day of the Autumn Quarter would be assessed $2,634.40 (10 days x $263.44) in tuition. The student would be eligible for a refund of $16,596.60 ($19,231.00 - $2,634.40) minus any scholarship or loan funds that would be returned to the source of those funds.

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Ilya R. Segal

Department of Economics Stanford University Stanford, CA 94305-6072 Tel. (650) 724-4905 [email protected]     http://www.stanford.edu/~isegal/

Academic Positions

· 2002 – present:    Roy and Betty Anderson Professor in the Humanities and Sciences , Department of Economics, Stanford University (Courtesy appointment, Stanford Graduate School of Business, 2004-present)

· 1999 – 2002:        Associate Professor of Economics , Stanford University

· 1995 – 1998:        Assistant Professor of Economics , University of California at Berkeley

Visiting Positions

· Visiting Researcher , Microsoft Research Silicon Valley , Summer 2008       

· Member , The Institute for Advanced Study at Princeton , 2002-2003

· John Stauffer National Fellow in Public Policy , Hoover Institution, 1998 – 1999

· Visiting Assistant Professor, Massachusetts Institute of Technology , Fall 1995

· Pew Foundation Visiting Scholar, Harvard University, 1991-92

· Harvard University , Ph.D., Economics, 1995. Advisors: Eric Maskin , Oliver Hart , Andrei Shleifer

· Moscow Institute of Physics and Technology , M.S., Applied Mathematics, 1991

Honors, Awards, Grants

· 2018 INFORMS Edelman Award for Achievement in Advanced Analytics, Operations Research, and Management Science , as part of an interdisciplinary team designing the F.C.C.’s Incentive Auction

· American Academy of Arts and Sciences Member, elected in 2017

· Emerald Publishing Citation of Excellence for “the most highly cited and influential papers” (joint with Alessandro Pavan and Juuso Toikka ), 2017

· Society for the Advancement of Economic Theory Fellow, elected in 2013

· Compass Lexecon Prize for “the most significant contribution to the understanding and implementation of competition policy” (joint with Michael Whinston ), 2008

· Toulouse Network on Information Technology , Member, 2005-2017

· Econometric Society Fellow, elected in 2003

· John Simon Guggenheim Memorial Foundation Fellowship , 2002-2003

· Alfred P. Sloan Foundation Research Fellowship , 1999-2001

· National Science Foundation Research Grants 1998-2000 , 2000-2002 , 2002-2004 , 2004-2005 , 2004-2006 , 2010-2012

· Review of Economic Studies European Tour , 1995

· Alfred P. Sloan Foundation Dissertation Fellowship, 1994-95

Publications

Refereed Journal Articles   

• “ Clock   Auctions and Radio Spectrum Reallocation ,” with Paul Milgrom , Journal of Political Economy , forthcoming
• “ Robustly Optimal Auctions with Unknown Resale Opportunities ,” with Gabriel Carroll , Review of Economic Studies , forthcoming
• “ Economics and Computer Science of a Radio Spectrum Reallocation ,” with Kevin Leyton-Brown and Paul Milgrom , Proceedings of the National Academy of Sciences , 114 (28), 2017, pp. 7202–7209
• “ Property Rights and the Efficiency of Bargaining ,” with Michael Whinston , Journal of European Economic Association , 14(6), 2016, pp. 1287–1328
• “ What Makes them Click: Empirical Analysis of Consumer Demand for Internet Search Advertising ,” with Przemyslaw Jeziorski , American Economic Journal: Microeconomics , 7(3), 2015, pp. 24-53.
• “ Dynamic Mechanism Design: A Myersonian Approach ,” with Alessandro Pavan and Juuso Toikka , Econometrica 82(2), 2014, pp. 601–653.
• “ An Efficient Dynamic Mechanism ,” with Susan Athey , Econometrica , 81(6) , 2013 , pp.2463–2485
• “ A Simple Status Quo that Ensures Participation (with Application to Efficient Bargaining) ,” with Michael Whinston , Theoretical Economics 6(1), 2011, pp. 109-125
• “ Optimal Information Disclosure ,” with Luis Rayo , Journal of Political Economy 118(5), 2010, pp. 949-987
•   “ Nash Implementation with Little Communication ,” Theoretical Economics 5(1), 2010, pp.51-71
• “ The Communication Cost of Selfishness ,” with Ronald Fadel, Journal of Economic Theory 144, 2009, pp. 1895-920
•   “ Antitrust in Innovative Industries ,” with Michael Whinston , American Economic Review 97(5), 2007, pp. 1703-1730
• “ The Communication Requirements of Social Choice Rules and Supporting Budget Sets , ” Journal of Economic Theory 136, September 2007, pp. 341-378
• “ Auctions with Severely Bounded Communication ,” with Liad Blumrosen and Noam   Nisan , Journal of Artificial Intelligence Research 28, March 2007, pp. 233-266
• “ The Communication Requirements of Efficient Allocations and Supporting Prices , ” with Noam Nisan , Journal of Economic Theory 129(1), July 2006, pp. 192-224

·          “ Robust Predictions for Bilateral Contracting with Externalities ,” with Michael Whinston , Econometrica , 71(3) 2003, pp. 757-791

·      “ Optimal Pricing Mechanisms with Unknown Demand ,” American Economic Review 93(3), 2003, pp. 509-529

·     “ Collusion, Exclusion, and Inclusion in Random-Order Bargaining ,” Review of Economic Studies 70(2), 2003, pp. 439-460

·     “ Coordination and Discrimination in Contracting with Externalities: Divide and Conquer? ” Journal of Economic Theory 113(2), 2003, pp. 147-181

·     “ Communication Complexity and Coordination by Authority ,” Advances in Theoretical Economics , forthcoming

·     “ Envelope Theorems for Arbitrary Choice Sets ,” with Paul Milgrom , Econometrica 70(2), 2002, pp. 583-601

·     “ The Mirrlees Approach to Mechanism Design with Renegotiation (with Applications to Hold-Up and Risk Sharing) ,” with Michael Whinston , Econometrica 70(1), 2002, pp. 1-45

·     “ Exclusive Contracts and Protection of Investments ,” with Michael Whinston , RAND Journal of Economics 31(4), 2000, pp. 603-633

·     “ Naked Exclusion: Comment ,” with Michael Whinston , American Economic Review 90(1), 2000, pp. 296-309

·     “ Contracting with Externalities ,” Quarterly Journal of Economics 114(2), 1999, pp. 337-388

·     “ Complexity and Renegotiation: A Foundation for Incomplete Contracts ,” Review of Economic Studies 66(1) , 1999, pp. 57-82

·     “ Monopoly and Soft Budget Constraint ,” RAND Journal of Economics 29(3), Autumn 1998, pp. 596-609

Refereed Conference Proceedings

·          “ Exponential Communication Inefficiency of Demand Queries ," with Noam Nisan , Theoretical Aspects of Rationality and Knowledge X, June 2005, pp. 158-164

·     “ The Communication Cost of Selfishness: Ex Post Implementation ,” with Ronald Fadel, Theoretical Aspects of Rationality and Knowledge X, June 2005, pp. 165-76

·          “ Multi-Player and Multi-Round Auctions with Severely Bounded Communication ," with Liad Blumrosen and Noam Nisan , European Symposium on Algorithms , September 2003, Proceedings. Lecture Notes in Computer Science 2832 Springer 2003, ISBN 3-540-20064-9

Invited Contributions

•   “ The Efficiency of Bargaining under Divided Entitlements ,” with Michael Whinston , University of Chicago Law Review 81(1), 2014
• “ Property Rights ,” with Michael Whinston , Handbook of Organizational Economics , ed. by R. Gibbons and J. Roberts, Princeton University Press, 2012

·    Designing Efficient Dynamic Mechanisms for Dynamic Bilateral Trading Games , with Susan Athey , American Economic Review Papers and Proceedings , 97(2), May 2007, pp. 131-6

·    Communication in Economic Mechanisms, in Advances in Economics and Econometrics: Theory and Application, Ninth World Congress (Econometric Society Monographs), ed. by Richard Blundell, Whitney K. Newey, and Torsten Persson, Cambridge University Press, 2006

·      Communication Requirements of Combinatorial Allocation Problems , in Peter Cramton, Yoav Shoham, and Richard Steinberg (eds.), Combinatorial Auctions, MIT Press, 2006

Other Publications

·     “Public vs. Private Enforcement of Antitrust Law: A Survey” (with Michael Whinston ), European Competition Law Review , 2007, 323-32

·     Solutions Manual for “Microeconomic Theory” by Mas- Colell , Whinston, and Green , 1996, with Chiaki Hara and Steve Tadelis, Oxford University Press

Selected Invited Lectures

· Alfred Marshall Lecture , European Economic Association Meetings , Mannheim, 2015

· Keynote Speaker , Econometric Society Australasian Meetings (Hobart), 2014, Southern California Symposium on Network and Game Theory , 2012

· Plenary Speaker , Midwest Economic Theory and International Trade Meetings, Ann Arbor, Fall 2013

· Semi-Plenary Speaker , 4 th World Congress of the Game Theory Society, Istanbul, 2012

· Lecturer , Summer Schools in Economic Theory at the Hebrew University of Jerusalem, 2007, 2012

· Invited Speaker , North American Summer Meetings of the Econometric Society (Evanston 2012 ), Latin American Meetings of the Econometric Society (Rio de Janeiro 2008 ), 9 th World Congress of the Econometric Society (London 2005 )

Professional Service

· Editor-in-Chief , ACM Transactions on Economics and Computation , April 2017-present

· Associate Editor , Econometrica , 2015-present

· Foreign Editor , Review of Economic Studies , 2010-2016

· Associate Editor , Journal of Economic Theory , 2013-2015

· Co-Organizer , Program on Economics and Computation , Simons Institute for the Theory of Computing, Fall 2015

· National Science Foundation Economics Panel, 2008-2010

· Program Committee , Bay Algorithmic Game Theory Symposia, BAGT1-BAGT6 , 2006-2009

· B.E. Journals in Theoretical Economics , Founding Editor, 1999-2005

· American Economic Review , Editorial Board, 2002-2005

· RAND Journal of Economics , Associate Editor, 1998-2006

· Director , Stanford Institute for Theoretical Economics , 2003-2005

· Program Committee , North American Meetings of the Econometric Society, Winter 2002 , Winter 2004 , Summer 2004 ; 8th World Congress of the Econometric Society ( August 2000 ); ACM Conference on Economics and Computation ( 2003 , 2008 , 2012 , 2015, 2017), Theoretical Aspects of Rationality and Knowledge IX (2003)

· Workshop Organizer , Stanford Institute for Theoretical Economics ( 2000 , 2001 , 2002 , 2004 ); European Summer Symposium in Economic Theory, Gerzensee , July 2000

· Director of Graduate Studies, Economics Department, 2005-2011

· Stanford University Committee on Libraries, 2004-2007

· Chair of Graduate Admissions, Economics Department, Stanford University, 2004-2005

Languages: Bilingual Russian - English, fluent in Ukrainian, basic knowledge of French 

Last Modified:   TIME \@ "MMMM d, yyyy" March 2, 2019