Paper 'Detecting Prefix Bias in LLM-based Reward Models' accepted at ACM FAccT 2025
Paper 'Dialectical reconciliation via structured argumentative dialogues' published at KR 2024
Workshop paper 'DECAF: Learning to be Fair in Multi-Agent Resource Allocation' accepted at RL Safety Workshop @ RLC 2024
Paper 'Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing Systems' published at ICAPS 2023
Extended abstract 'Remember, but also, Forget: Bridging Myopic and Perfect Recall Fairness with Past-Discounting' accepted at AAMAS 2025 Workshop on Autonomous Agents for Social Good (AASG)
Research Experience
Works on temporal resource allocation problems involving interactions between resources and agents over time
Early work used simple incentives to improve two-sided fairness in ridesharing systems
Recently developed the DECAF framework to learn fair allocation policies in multi-agent settings using reinforcement learning
Investigates methods to bridge myopic and long-term fairness considerations
Collaborates with Stylianos Vasileiou on Human-Aware AI to improve human understanding of and interaction with AI systems
Developed a dialectical reconciliation framework using structured argumentative dialogues to resolve knowledge discrepancies between users and AI agents
Miscellany
Enjoys reading books and biking in Forest Park when not working
Likes playing the piano whenever possible
Passionate about traveling and has visited many places around the world
Always open to recommendations for new activities, books, and music
Designed this personal website using an agentic LLM; believes the next major advances will come from agentic systems and reinforcement learning