Research & Work Experience
Oracle
Principal Applied Scientist, 2025-Present
Seattle, WA USA
Intel Labs
Staff Research Scientist, 2021-2025
Santa Clara, CA USA
Led multiple research projects on efficient video representations using sparse transformers and graph neural networks
Conducted research on text-to-image & text-to-3D diffusion models, and flow-based generative models
Proposed approaches to enhance VLMs through frozen LLMs and scene graphs
Won several challenges on video understanding algorithms, including Ego4D and ActivityNet
Contributed to improving the motion controllability of video generative models by profiling state-of-the-art diffusion models on Intel hardware
University of Michigan
Graduate Student Research Assistant, 2017-2021
Ann Arbor, MI USA
Conducted research on video understanding and spatiotemporal action detection
Developed 3D object detection algorithms using deep learning that use a sequence of images and LiDAR points for the group project in course EECS 599: Self-driving cars
Performed research on automatic image colorization with GAN for the group project in course EECS 545: Machine learning
Developed standalone executable programs for evaluating various video segmentation algorithms for DARPA's Media Forensics (MediFor) project teams
Seoul National University
Summer Intern, 2015-2016
Seoul South Korea
Xeron
Algorithm Developer, 2012-2015
Seoul South Korea
Developed video analytics algorithms for the monitoring system of the hospital's neonatal units that detect potentially dangerous situations
Developed multiple video analytics algorithms and built a state-of-the-art event detection system for the i-LIDS benchmark, which was certified by UK Home Office
