Papers accepted to AAAI 2026, EMNLP 2025, ICCV 2025, IJCAI 2025, KDD 2024, IJCAI 2024, Interspeech 2023, AAAI 2023; Awarded a $1000 Cohere Research Grant in 2024.
Research Experience
Machine Learning Research Intern at Morgan Stanley, NYC, NY in Summer 2025, working on RL-based post-training of LVLMs; Applied Scientist Intern at Alexa NLU, Cambridge, MA in Summer 2023, working on meta-learning based training approaches for LLMs; Applied Scientist Intern at AWS Lex, Sunnyvale, CA in Summer 2022, working on domain adaptation of large speech models; Machine Learning (Perception) Engineering Intern at Unity, Seattle, WA in Summer 2020, working with image tracking and segmentation models for synthetic data.
Education
PhD in Computer Science, University of Virginia, Advisor: Dr. Aidong Zhang (2025)
Background
A final year PhD candidate in the Computer Science department at the University of Virginia, advised by Dr. Aidong Zhang. Broadly interested in VLMs, interpretability, and robustness. Previously involved in biometric research in facial recognition on human-like faces at IAB Lab.