About

Research

I work on multimodal learning (vision + IMU + Wi‑Fi FTM + text), efficient machine learning (few‑class evaluation, pruning, model selection), and robot visual navigation (hierarchical RL, metric learning, 3D Gaussian Splatting).

Current focus

• Vision–wireless identity association & cross‑modal trajectory reconstruction
• Embodied navigation: representation learning and mapping
• Efficient AI/ML: Few‑class regime (benchmark tooling + dataset difficulty measurement), model pruning/merging

Affiliations

• Ph.D. Candidate, Stony Brook University
• Research Intern/Co‑op, Nokia Bell Labs (Jun 2021 – Fall 2025)

Education

• Stony Brook University — Ph.D. in Computer Science (2026 expected)
• University of Colorado Boulder — M.S. in Computer Science (2018)

Interests

• Multimodal learning (vision + IMU + Wi‑Fi + text)
• Few‑class evaluation and efficient inference
• Robot learning and visual navigation