[{'PaperTitle': 'Derailer-Rerailer: Adaptive Verification for Efficient and Reliable Language Model Reasoning', 'Conference/Journal': 'ACL Findings 2025'}, {'PaperTitle': 'COMPASS: Enhancing Agent Long-Horizon Reasoning with Evolving Context', 'Status': 'Under review, 2025'}, {'PaperTitle': 'BEACON: Bayesian Optimal Stopping for Efficient LLM Sampling', 'Status': 'Under review, 2025'}, {'PaperTitle': 'Reasoning-Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling', 'Conference/Journal': 'NAACL 2025'}, {'PaperTitle': 'Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American English', 'Status': 'ARR (under review)'}, {'PaperTitle': 'Bridging Causal Discovery and Large Language Models: A Survey', 'Conference/Journal': 'IJCAI 2025'}, {'PaperTitle': 'ProAI: Proactive Multi-Agent Conversational AI for Psychiatric Diagnosis', 'Status': 'ARR (under review)'}, {'PaperTitle': 'Deep Learning on Intrapartum FHR to Predict Acidemia at Birth', 'Conference/Journal': 'AJOG, 2024'}, {'PaperTitle': 'Two-step LightGBM for Human West Nile Virus Risk in Chicago', 'Conference/Journal': 'PLOS ONE 19(1): e0296283, 2024'}, {'PaperTitle': 'Fair Admission Risk Prediction with Proportional Multicalibration', 'Conference/Journal': 'CHIL, 2023'}]
Background
Research interests include LLM agents, multi-agent systems, reasoning, and efficiency. Previously, he earned an M.S. in Biostatistics at Harvard, working with William La Cava on fairness-aware ML in healthcare. Before that, he completed his B.S. in Statistics (Summa Cum Laude) at UIUC.
Miscellany
Outside research, he enjoys exploration and the outdoors (visited 24 U.S. National Parks), photography (nature and astrophotography), and gaming (Teamfight Tactics).