what i’m up to

I’m a third-year PhD candidate at MIT. I build large-scale orchestrated AI and optimization workflows for complex tasks.

things i’ve done

MIT (2023–2027) — PhD candidate with Prof. Patrick Jaillet. Working on AI workflow design, RL, and large-scale optimization for open math problems, finance, and energy. Funded entrepreneur.

Stanford (2019–2023) — Honors degrees in Mathematics (B.S.) with Prof. Jonathan Luk and Philosophy (B.A.) with Prof. Michael Bratman. Undergraduate Honors thesis with Prof. Yinyu Ye. Journalist at Stanford Daily.

Meta (2025–now) — Research collaboration on RL and recommendation systems.

Amazon (2025) — PhD intern, agentic store system.

things i’ve built

Open-Problem-Solver Automated prover and counterexample searcher for open math — 5 problems solved from the First Proof Challenge (Feb 2026). · [Visuals]

Cascade Hunter Automated detection of cascading proof errors in online database and traces their impact through citation dependency graphs. · [Visuals]

FundamentAI AI-orchestrated fundamental analysis for equities, including a dedicated pharmaceutical drug-level pipeline. [Visuals / General] · [Visuals / Pharma]

places i’ve spoken

Shanghai Jiao Tong University (2025) | Berkeley Simons Institute (2023) | INFORMS Annual Meeting (2024, 2025) | INFORMS Optimization Society (2026) | INFORMS Applied Probability Society (2025)

what i think about

Optimization and Control of Dynamic Topology of LLM Workflows · coming soon

Design of Large-Scale Agentic Workflow for Fundamental Analysis · coming soon With MIT LFE

Parameter-free BlockMDP · coming soon With Meta

Differentiable Robust Optimization for General Correlated Uncertainty in Energy Systems · coming soon Industry collaboration

Certifiable Stabilization of Algorithmic Markets via External Rule Primitives · coming soon

A Two-Layer Framework for Joint Online Configuration Selection and Admission Control Owen Shen, Haoran Xu, Yinyu Ye, Peter Glynn, Patrick Jaillet · arXiv

Choice-Model-Assisted Q-learning for Delayed-Feedback Revenue Management Owen Shen, Patrick Jaillet · arXiv