About

I am actively seeking an AI Research Scientist position starting in May 2026. I am especially interested in roles focused on efficient LLM/Agent personalization and alignment for business process modeling.

Research Interests: Data Curation, Personalized LLM, Constrained Alignment, AI for Business Process Modeling

Job Market Paper: 

Constraint-Aware Self-Improving Large Language Model for Clinical Role Model Generation. 

Preprint available on SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5642250

• We model case-based personalized medicine as a computationally tractable chance-constrained optimization program that incorporates uncertainties in risk estimates from historical treatment trajectories
• We use LLMs to generate candidate treatment trajectories, with the chance-constrained program serving as an external verifier to label reliability of synthetic trajectories
• We develop an active learning algorithm that strategically fine-tunes the LLM based on the verification feedback
• We establish a complete theoretical framework with guarantees for single-step LLM alignment, learning algorithm regret bounds, and patient safety
• On two large clinical datasets, our framework significantly outperforms both real treatment trajectories and active learning benchmarks, improving LLM reliability by over 130% while reducing patient Effort-to-Change by 23%
• We present a provably effective paradigm for using LLMs to overcome data scarcity in data-driven optimization, which is applicable beyond clinical settings to any optimization model where data approximates decision variables