Advising & Supervising

Graduate school is a serious academic commitment, and it can be expensive. Graduate coursework is substantially harder and very different than undergraduate-level coursework. I encourage students to carefully consider whether graduate school is right for them.

Letters of Recommendation


In general, students should seek letters of recommendation from professors they know the best and in whose courses they performed the best. I will write confidential letters of recommendation for students who have demonstrated a high level of academic achievement in my courses and/or in independent research projects overseen by me. For Ph.D. applications specifically, I will only write letters for students who have provided clear evidence of high-level preparation for the academic and professional rigors a Ph.D. program, as demonstrated by a holistic evaluation of their academic and professional records.

If you believe this applies to you and you would like to request a letter of recommendation from me, then please send me an email including (1) transcripts from all of your previous degrees, (2) your best piece of work from among the courses you took with me, (3) your research statement outlining your goals for graduate school, and (4) a list of all programs you are applying to. If I agree to write you a letter, you should use my LSE contact information to make the request and you must waive your right to view my confidential letter or recommendation. Please note that I will explicitly tell you in advance if I do not think I can provide you with a strong letter.

Information for Prospective Ph.D. Students at LSE


It is important for students to have a Ph.D. supervisor who is well-aligned with their research interests. In my view, I can be most effective as a supervisor for students who meet these criteria:

  • The student's "intellectual discipline" is either political science or economics, and their methodological approach is either formal theory or advanced quantitative methods. By "intellectual discipline" I do not mean the official subject of their Ph.D. (which can be, for example, methodology), but rather the community of scholars they intend to join and the journals they intend to publish in.

  • The student received high marks in their undergraduate courses and, if applicable, their master's courses. For students coming from the US, this means a home discipline GPA of at least 3.85. For students coming from the UK, this means either a first or a distinction in the home discipline.

  • The student has pursed high-level training in math and quantitative methods. This includes coursework in calculus, probability, statistics (including advanced regression), and causal inference. Students who wish to do formal theory should have completed—or plan to complete—real analysis and calculus-based game theory courses.

  • The student has done some programming in R or Python.

In addition, I will typically expect the Ph.D. students I supervise to have a research interest in either political institutions or formal theory, and be prepared to work hard and take feedback well. I will occasionally supervise students working on topics that are not related to political institutions or formal theory, but whose research profiles align with mine on another dimension (e.g., methodologically).

I have a preference to supervise students who have a strong theoretical orientation using either formal economic modeling or game theory, and who are interested in doing methodologically rigorous theory building.

If you believe that I would be a good fit to supervise your Ph.D., then please send me an email with (1) transcripts from all of your previous degrees, (2) your best piece of academic writing, and (3) a research statement outlining your plan for the Ph.D. If I decide that you are a good fit based on these materials, then I will arrange to meet with you for an informal interview.

Ph.D. Supervisees


Current Ph.D. Students (3+ Years)

Christy Coulson

RyuGyung (Rio) Park

Jack T. Rametta (chair)

Graduated Ph.D. Students

Ipek Çineli, Max Weber Fellow, European University Institute

Jonathan Colner, Faculty Fellow, NYU Center for Data Science

Gento Kato, Senior Assistant Professor, Meiji University