Resume-aware faculty matching

Find professors who actually fit you

Review faculty evidence in public, then use the workspace to turn your background into a shortlist, outreach, and meeting prep.

Profile-awarePaper evidenceSix agents
Persi Diaconis

Persi Diaconis

· Professor of Mathematics, Statistics

Stanford University · Symbolic Systems

Active 1975–2025

h-index86
Citations33.0k
Papers50858 last 5y
Funding$1.0M1 active

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

See your match with Persi Diaconis — sign in to PhdFit.Sign in

About

Persi Diaconis is the Mary V. Sunseri Professor in the School of Humanities and Sciences and a Professor of Mathematics at Stanford University. He is a mathematician and statistician working in probability, combinatorics, and group theory with a focus on applications to statistics and scientific computing. A specialty of his is the rates of convergence of Markov chains. His current interests include adapting many mathematical developments to provide useful insights to practitioners in large real-world simulations.

Research topics

  • Computer Science
  • Mathematics
  • Sociology
  • Mathematical economics
  • Artificial Intelligence
  • Art
  • Epistemology
  • Philosophy
  • History
  • Classics

Selected publications

  • Card guessing with partial feedback

    Combinatorics Probability Computing · 2021 · 16 citations

    1st authorCorresponding

    Abstract Consider the following experiment: a deck with m copies of n different card types is randomly shuffled, and a guesser attempts to guess the cards sequentially as they are drawn. Each time a guess is made, some amount of ‘feedback’ is given. For example, one could tell the guesser the true identity of the card they just guessed (the complete feedback model) or they could be told nothing at all (the no feedback model). In this paper we explore a partial feedback model, where upon guessing…

  • Guessing about Guessing: Practical Strategies for Card Guessing with Feedback

    American Mathematical Monthly · 2022 · 14 citations

    1st authorCorresponding

    In simple card games, cards are dealt one at a time and the player guesses each card sequentially. We study problems where feedback (e.g., correct/incorrect) is given after each guess. For decks with repeated values (as in blackjack where suits do not matter), the optimal strategy differs from the “greedy strategy” (of guessing a most likely card each round). Further, both optimal and greedy strategies are far too complicated for real-time use by human players. Our main results show that simple…

  • Double coset Markov chains

    Forum of Mathematics Sigma · 2023-01-01 · 8 citations

    articleOpen access1st authorCorresponding

    Abstract Let G be a finite group. Let $H, K$ be subgroups of G and $H \backslash G / K$ the double coset space. If Q is a probability on G which is constant on conjugacy classes ( $Q(s^{-1} t s) = Q(t)$ ), then the random walk driven by Q on G projects to a Markov chain on $H \backslash G /K$ . This allows analysis of the lumped chain using the representation theory of G . Examples include coagulation-fragmentation processes and natural Markov chains on contingency tables. Our main example proje…

  • The Mathematics of Shuffling Cards

    American Mathematical Society eBooks · 2023-03-20 · 7 citations

    book1st authorCorresponding
  • Approximate exchangeability and de Finetti priors in 2022

    Scandinavian Journal of Statistics · 2022-08-29 · 4 citations

    article1st authorCorresponding

    Abstract This is a review paper, beginning with de Finetti's work on partial exchangeability, continuing with his approach to approximate exchangeability, and then his (surprising) approach to assigning informative priors in nonstandard situations. Recent progress on Markov chain Monte Carlo methods for drawing conclusions is supplemented by a review of work by Gerencsér and Ottolini on getting honest bounds for rates of convergence. The paper concludes with a speculative approach to combining c…

Recent grants

Frequent coauthors

Labs

Education

  • B.A., Mathematics

    Harvard University

    1969
  • Ph.D., Statistics

    Stanford University

    1974

Awards & honors

  • Stanford Honors Thesis Prizes - Symbolic Systems
  • Glushko Prize for Excellence in Undergraduate Research in Sy…
  • Barwise Award for Distinguished Contributions to Symbolic Sy…
  • Symbolic Systems Distinguished Teaching Award

Similar researchers at Stanford University

  • Resume-aware match score
  • Save to shortlist
  • AI-drafted outreach

See your match with Persi Diaconis

PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.

  • Free to start
  • No credit card
  • 30-second signup