Jonathan Light

I am currently a Ph.D. student at Rensselaer Polytechnic Institute, Troy NY (RPI).

Broadly speaking, I am interested in the interplay between incentives (economics), algorithms (computer science), and learning (statistics), including algorithmic game theory, online learning, sequential decision making, reinforcement learning, data economics, market design, multi-agent systems. My current work is focused on foundation models for decision making, where we combine traditional sequential decision making methods with foundation models.

I like collaborations! Reach out if you've got a cool problem you'd like to chat about.

"Know what you know and know what you do not know. That is true wisdom."
-- Confucious

In modern words, know the known knowns, known unknowns, and unknown unknowns. I feel like this is a good way to approach research, and life in general, and is particularly relevant to creating intelligent machines.

In my spare time, I enjoy playing and designing board games, reading science fiction, electronic music composition, and fencing. I find well designed games to be extremely elegant, and a great inspiration for research.

Email  /  LinkedIn  /  Github

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Education

Ph.D.           Sep 2023 - Present
                       Rensselaer Polytechnic Institute (RPI), Troy, NY, U.S.
                       Ph.D. student in Computer Science

M.S.              Aug 2021 - Mar 2023
                       University of Chicago, Chicago, IL, U.S.
                       M.S. in Financial Mathematics

B.S.              Aug 2017 - May 2021
                       Reed College, Portland, OR, U.S.
                       B.S. in Mathematics and Economics
Publications
prl From Text to Tactic: Evaluating LLMs Playing the Game of Avalon
Jonathan Light*, Henry Cai, Sheng Shen, Ziniu Hu
Preprint, 2023
Teaching
  • Teaching Assistant, AI and Blockchain, Dacheng Xiu. Booth School of Business Executive MBA Program, 2023 Summer

  • Teaching Assistant, Options Pricing, Roger Lee. University of Chicago PSD, 2023 Spring

  • Teaching Assistant, Bayesian Statistical Inference and ML, Gordan Ritter. University of Chicago PSD, 2023 Spring

  • Teaching Assistant, Decoding Fintech, Dacheng Xiu. Booth School of Business, 2023 Winter

  • Teaching Assistant, Mathematical Statistics, Jonathan Wells. Reed College, 2021 Spring

  • Teaching Assistant, Probability Theory, Jonathan Wells. Reed College, 2020 Fall

  • Teaching Assistant, Macroeconomics, Zhe (Jasmine) Jiang. Reed College, 2020 Fall

  • Teaching Assistant, Econometrics, Fellipe Carrera. Reed College, 2020 Fall

  • Teaching Assistant, Introduction to Analysis, David Krumm. Reed College, 2019 Fall

Honors and Awards
  • Phi Beta Kappa, 2021

  • Reed Commendation for Excellence in Scholarship, 2018, 2019, 2020, 2021

  • Reed Science Research Fellow, 2020

  • Reed Financial Services Fellow, 2019

Other Notes

I go by either Jonathan Li or Jonathan Light. I usually use Light in publications because

  1. Li is a very common last name and people often get confused with all the other people that share the same name as me

  2. Light is the semantic translation of both my Chinese given name and courtesy name

  3. Light nearly preserves the lexigraphic ordering of Li


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