01 4 papers
Risk-Aware Learning and Reinforcement Learning
Methods for learning decisions under uncertainty, distribution shift, and explicit risk specifications.
Research
Research
My work studies reliable learning systems for decisions under uncertainty. The pages below organize projects by research direction and connect each topic to the papers that develop it.
Themes
Research directions
Each direction includes multiple related papers and paper-derived visuals.
02 4 papers
Data-Driven Reliability and Verification
Stress testing, verification, and input-space construction for learned models used in constrained settings.
03 3 papers
LLMs for Constrained Decision Systems
Fine-tuning and inference-time methods for language models that propose technical actions under constraints.
04 5 papers
Power Systems Applications
Power-system testbeds for studying learning, optimization, reliability, market participation, and control.