About Me
I am a PhD Candidate in the department of Electrical and Computer Engineering at the University of California, Los Angeles (UCLA), co-advised by Prof. William Speier and Prof. Vwani Roychowdhury at the Biomedical AI Research Lab. My research focuses on medical image processing, representation learning, and clinical AI — including real-time stroke outcome prediction from angiography, multimodal thyroid cancer diagnosis, and ultrasound image enhancement. Previously, I was a Graduate Student Researcher at the Visual Machines Group (2020–2023), working on computational imaging and AI fairness. I completed my Bachelor of Technology in Electronics Engineering from Vishwakarma Institute of Technology, Pune (affiliated to SPPU) in 2020.
Updates
- Spring 2026: Teaching ECE C147B/C247B — Deep Learning 2 at UCLA.
- 2025: Placed 2nd at UCLA Grad Slam 2025 — university-wide research communication competition; awarded $4,000.
- 2025: Paper published in Thyroid — multimodal deep learning for thyroid nodule risk stratification.
- 2024: Paper on No-Reflow prediction from stroke angiography (DSA-NRP) submitted; in revision at IEEE Transactions on Medical Imaging.
- 2024: ThyGraph published at MICCAI 2024 — graph-based thyroid nodule diagnosis from ultrasound.
- Sep 2023: Started PhD at UCLA in ECE.
Awards
- 2nd Place, UCLA Grad Slam 2025 — University-wide research communication competition; awarded $4,000 prize.
- Best Outgoing Student of the Year 2019–20, Vishwakarma Institute of Technology, Pune.