Welcome! I’m Kenny
I’m a junior at the University of California, Berkeley, majoring in Industrial Engineering & Operations Research (IEOR) and minoring in Data Science & Mathematics. My research integrates Operations Research, Data Science, and Applied Economics to improve the design and operation of complex, data-rich environments. I focus on three research directions:
Frontier and Limits of AI in Operations: I investigate the reliability of Generative AI in high-stakes decision systems. My recent work (AAAI 2026) empirically audits the limits of LLMs in chronological reasoning, identifying systematic failures in how models process time-encoded data, with implications for mitigating lookahead bias in forecasting tasks.
Revenue Management and Mechanism Design in Online Platforms: I leverage optimization, game theory, and machine learning to study pricing and incentive alignment in two-sided marketplaces and urban systems, with a specific focus on transportation and ride-sharing networks. I helped design Calyber: A Ridesharing Game (2025 INFORMS Case Competition Runner-up) where students navigate dynamic pricing, matching, and stochastic demand.
Human-AI Behavioral Operations: I study how to maximize the economic value of human-AI collaboration in professional workflows. Methodologically, I designed a simulation-based benchmarking framework to measure the distinct impacts of AI automation versus AI augmentation, showing that an AI model’s supervisory skill is a fundamentally different capability than its standalone performance.
This past summer, I was a visiting research fellow at Columbia Business School, collaborating with Professor Paul Glasserman of Decisions, Risk, and Operations (DRO). At Berkeley, I am fortunate to work with and be advised by Professor Chiwei Yan at the Department of Industrial Engineering & Operations Research, Berkeley College of Engineering, and Professor Abhishek Nagaraj, at the Data Innovation & AI Lab (DIAL), UC Berkeley Haas School of Business. Previously, I also worked with Professor David Evan Harris on the ethics of AI, and Professor Frank Partnoy on a data-driven measurement of board of directors’ effectiveness.
My Curriculum Vitae can be found here.
📢 News
- May 2026 - Presenting at the 2026 IISE Annual Conference & Expo (Arlington, TX).
- April 2026 — Presented at the 2026 Berkeley IEOR Annual Advisory Board Meeting!
- Jan 2026 — Presented my first paper at AAAI 2026 in Singapore.
- Nov 2025 — Our work was featured by UC Berkeley IEOR and sparked a viral discussion among practitioners on X. It was also cited as a motivating framework in OpenAI’s paper on Scaling Social Science Research.
- Nov 2025 — Calyber: A Ridesharing Game, which I helped develop under Prof. Chiwei Yan, was awarded Runner-up at the 2025 INFORMS Case Competition.
- Oct 2025 — Our paper “Do Large Language Models Understand Chronology?” (with Prof. Paul Glasserman) was accepted for oral presentation at the AAAI-26 Student Abstract Program.
- Jun 2025 — Joined Columbia Business School (DRO) as a Summer Research Fellow.
- May 2025 — Awarded Best Data Visualization at the 2025 Berkeley CDSS Data Discovery Symposium for our work on evaluating Board of Directors’ effectiveness.
- Apr 2025 — Awarded 1st Runner-Up at the Wells Fargo & Berkeley IEOR Bay Area Decision Sciences Summit for our work on Options Pricing and Portfolio Optimization.
- Aug 2024 — Joined the Data Innovation & AI Lab (DIAL) as a Research Assistant, working with Srikanth Janjirala on the Impact of AI on crowdsourcing platforms and Stella Jia on the impact of pirated data on LLMs’ performance.
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