I’m a researcher and engineer who thrives at the intersection of ideas, systems, and people. From leading cross-functional R&D teams at Samsung to publishing at venues like NeurIPS and CVPR, I bring a full-stack mindset — taking projects from idea to research to products and patents. Take a deeper look at my portfolio. In my hobbies, I enjoy biking, hiking, and I love to play the piano, guitars, and drums. I love to travel and explore new places, you can find some memories of my travels here.
PhD Student @ Rice University
- 🎓 year PhD, Rice University · Advisors: Ashok Veeraraghavan & Guha Balakrishnan
- 🔬 Research: Efficient & scalable neural signal representations, computer vision, medical imaging
- 🏢 Previously: Senior ML Engineer @ Samsung Research America · 10+ US patents
- 🎓 MS Computer Vision, CMU Robotics Institute · Advisor: Simon Lucey
Email: “oi.h@ykmglmcssaaluvka”unscramble
Featured Work
Latest News
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📄 “The Surprising Effectiveness of Noise Pretraining for Implicit Neural Representations” accepted at CVPR 2026! Excited to see y’all at Denver.
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📰 MetaSeg in Rice News, Additional media coverage: MedImaging, Brighter side of news, Bioengineer.org
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🎤 Presented STRAINER and MetaSeg at MICCAI RISE (link to talk) and CS Seminar at Johns Hopkins.
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🎤 Gave talk on pretraining INRs at Asilomar Conference on Signal, Systems, and Computers, CA.
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🏆 Our paper, Fit Pixels, Get Labels a.k.a. MetaSeg just won MICCAI‘25 Best Paper Award!.
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📦 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.
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📄 Learning Transferable features for Implicit Neural Representations a.k.a. STRAINER accepted at NeurIPS 2024!