- Paper 'DISCO: Disentangled Communication Steering for Large Language Models' accepted to NeurIPS 2025
- Paper 'Axiomatic Explainer Globalness via Optimal Transport' accepted to AISTATS 2025
- Gave a talk on work 'SmoothHess' to Prof. Doshi-Velez’s DtAK lab at Harvard
Research Experience
- Research in Jennifer Dy's Machine Learning Lab at Northeastern University, Focus: LLMs and interpretable ML
- Collaboration with scientists at MSKCC, Focus: ML for dermatology
- Research Intern at Apple, Focus: Methods for selecting SFT/RLHF training data, Time: Summer 2024
Education
- PhD Candidate, Northeastern University, Advisor: Jennifer Dy, Time: 2018-Present
- MS in CS, Washington University in St. Louis, Advisor: Ulugbek Kamilov, Time: Not Provided
- BS in Data Science, University of Rochester, Time: 2018
Background
Research Interests: Representation engineering, interpretable ML. Professional Field: Machine Learning.
Miscellany
Personal Interests: Watching anime and reading. Favorites include One Piece, Fullmetal Alchemist, Dororo, One Hundred Years of Solitude, The Stormlight Archive, Never Let Me Go, East of Eden, and Hyperion.