PhD Student @ Rice University
I’m a -year PhD student at Rice University advised by Ashok Veeraraghavan & Guha Balakrishnan. My PhD is on the foundations for scalable, grid-free, semantic, and multimodal neural representations. I also study mechanistic interpretiblity for such representation models.
Currently, I am a Research Scientist intern at Adobe Research under Marc Levoy. I completed my MS in Computer Vision (MSCV) from Carnegie Mellon University, Robotics Institute
I am recipient of the Hershel M. Rich Invention award (2026) and the MICCAI 2025 Best Paper Award.
Email: “oi.h@ykmglmcssaaluvka”unscramble
Featured Work
Latest News
-
Interning summer of 2026 at Adobe Research!
-
Honored to receive the Hershel M. Rich Invention Award 2025-26.
-
📄 “The Surprising Effectiveness of Noise Pretraining for Implicit Neural Representations” accepted at CVPR 2026! Excited to see y’all at Denver.
-
📰 MetaSeg in Rice News, Additional media coverage: MedImaging, Brighter side of news, Bioengineer.org
-
🎤 Presented STRAINER and MetaSeg at MICCAI RISE (link to talk) and CS Seminar at Johns Hopkins.
-
🎤 Gave talk on pretraining INRs at Asilomar Conference on Signal, Systems, and Computers, CA.
-
🏆 Our paper, Fit Pixels, Get Labels a.k.a. MetaSeg just won MICCAI‘25 Best Paper Award!.
-
📦 Alpine PyTorch Library is now released. Excited to announce that Alpine - a flexible, distributed and user-friendly library for implicit neural representations is now released! Paper accepted at CVPR 2025, Workshop on Neural Fields beyond Conventional Cameras.
-
📄 Learning Transferable features for Implicit Neural Representations a.k.a. STRAINER accepted at NeurIPS 2024!