LAT 37.87 N · LON 122.27 W · BERKELEY
scroll ▾
I'm a Software Engineer at The Voleon Group in Berkeley, CA. I graduated from Carnegie Mellon University's MSCS program in 2026, where my research focused on Multi-Agent LLM Systems and AI Safety.
My master's thesis examined deceptive behaviors in multi-agent LLM systems, co-advised by Vincent Conitzer (CMU) and Zhijing Jin (University of Toronto). I also work remotely as an external collaborator for the Jinesis Lab.
During my undergrad at CMU, I completed majors in both Computer Science and Mathematics with a minor in Computational Finance, graduating with University and College Honors.
→ Software Engineer at The Voleon Group since July 2026.
→ Presented When Agents Lie (Best Paper Award) at the ICML NExT-Game workshop in Seoul, July 2026.
→ Passionate about teaching: TA for 7 different CMU courses, from differential equations to graduate AI. See my teaching philosophy.
→ Off-hours: tricking, breakdancing, freediving, photography, and K-Pop dance — proof on the hobbies page.
New chapter. Joined The Voleon Group in Berkeley, CA as a Software Engineer.
Best Paper Award. "When Agents Lie: Premeditation, Persistence, and Exploitation in Repeated Games" accepted to the ICML New Frontiers in Game-Theoretic Learning (NExT-Game) workshop — and won the Best Paper Award. Presented in Seoul on July 11. Read the paper.
Paper accepted. "What Game-Theoretic Benchmarks Miss: Strategic Silence in Multi-Agent LLMs" accepted to the ICML Workshop on Failure Modes of Agentic AI. Read the paper.
Thesis defended. Successfully defended my master's thesis, "The Structure of Deception: How LLM Agents Lie, Break Promises, and Exploit Trust in Multi-Agent Settings." Watch the defense presentation.
Paper accepted. "Cheap Talk, Empty Promise: Frontier LLMs easily break public promises for self-interest" accepted to the ICLR AI for Mechanism Design and Strategic Decision Making workshop.
Paper accepted. "Behavioral and Strategic Deception in Large Language Models: A Taxonomy and Benchmark Analysis" accepted to the ICLR Agents in the Wild: Safety, Security, and Beyond workshop.
Paper accepted. "Market-Dependent Communication in Multi-Agent Alpha Generation" accepted to the NeurIPS GenAI in Finance workshop.
How do LLM agents behave when they can communicate, commit, and privately deviate? My work builds taxonomies, benchmarks, and empirical evaluations of deceptive behavior in multi-agent systems.
Premeditation, persistence, and exploitation: how LLM agents deceive in repeated games. Best Paper at the NExT-Game workshop.
Frontier LLMs break public commitments in ~57% of scenarios — often without recognizing they're doing it.
A unified taxonomy of LLM deception, applied to 35 benchmarks to expose systematic coverage gaps.
Recruiting season, empty resumes, and what a project is supposed to show now that AI can handle the technical part. Plus how I got into a research lab by extending one of its projects over winter break.
2026.09.203Blue1Brown's video on the IMO problem no model could solve, a framework for what understanding actually means, and why intuition is the only level educators still need to fight for.
2026.07.21Notes from wandering the ICML 2026 poster halls in Seoul: readable papers on LLM agents, education, and finance, plus why each one caught my attention.
A structured learning platform for aspiring quant professionals — a skill tree from calculus to frontier research, with AI tutoring at every level. Designed to help you land your first quant role without the six-figure MFE commitment.
Join the waitlist