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Jerick Shi

Hi! I’m Jerick, a 5th year master’s student in Computer Science at Carnegie Mellon University.

My research focuses on Multi-Agent LLM Systems and AI Safety. I’m currently working on my master’s thesis on deceptive behaviors in multi-agent LLM systems, co-advised by Vincent Conitzer from CMU and Zhijing Jin from the University of Toronto. I’m also working remotely as an external collaborator for the Jinesis Lab.

I’m passionate about teaching and have been a TA for 7 different courses at CMU, ranging from differential equations to graduate AI. You can learn more about my teaching philosophy and experience on my teaching page.

During my undergrad at CMU, I completed majors in both Computer Science and Mathematics, along with a minor in Computational Finance, graduating with University and College Honors.

I’m joining the Voleon Group as a Software Engineer in July 2026. I’m also currently open to lecturer positions over the summer relating to CS, ML, AI, or quantitative finance.

I’m also building Quant Engine, a structured learning platform for aspiring quant professionals. It offers 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 for early access to the free tier at launch.

Outside of research and teaching, I enjoy tricking, breakdancing, freediving, photography, and K-Pop dance.

news

Apr 20, 2026 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.
Mar 01, 2026 Paper “Cheap Talk, Empty Promise: Frontier LLMs easily break public promises for self-interest” accepted to ICLR AI for Mechanism Design and Strategic Decision Making workshop!
Mar 01, 2026 Paper “Behavioral and Strategic Deception in Large Language Models: A Taxonomy and Benchmark Analysis” accepted to ICLR Agents in the Wild: Safety, Security, and Beyond workshop!
Dec 06, 2025 Paper “Market-Dependent Communication in Multi-Agent Alpha Generation” accepted to NeurIPS GenAI in Finance workshop!

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