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Student Researcher

Google Research

Worked on foundation modeling efforts for waveform data in healthcare. Proposed a new self-supervised learning method to learn interpretable representations.

Research Intern

Mitsubishi Electric Research Labs (MERL)

Built a density model of time-to-destination for better uncertainty quantification, applied to elevator scheduling.

Graduate Researcher

Harvard University

Worked on decision-focused models, representation learning, and reinforcement learning for healthcare. Developed methods for feature selection using prediction-focused mixture models and reward transfer in model-based RL.

Machine Learning Intern

Qualcomm

Applied sequence modeling to system-on-chip design and coreset selection for training data compression.

Graduate Researcher

University of Massachusetts Amherst

Proposed a state-space model using variational autoencoders to model patient trajectories in electronic health records.

Co-founder

Blaffer

Virtual reality experiences for real estate and hospitality.

PhD

Harvard University

PhD Candidate

M.S.

University of Massachusetts Amherst

Computer Science

B.Tech.

Indian Institute of Technology, Madras

Engineering

Certificate of Distinction in Teaching

Harvard University

CS 282R (Task-focused Generative Models and Inference)

Top-10% Reviewer, AISTATS

AISTATS