I am a Senior Staff Research Scientist at Google Research, working in computer vision and machine learning. Most recently, I lead a team of scientists and engineers on developing vision and language models for mobile products, such as Google’s first venture info Face Unlock on Pixel 4 & 4XL (2019) with NIR sensors, and Pixel 7 & 7 Pro (2022), Pixel Fold & 7a and Pixel 8 & 8 Pro (2023), Pixel 8a (2024) with only commodity RGB sensors.
Prior to Google, I was a Deep Learning Scientist at Apple, taking a major role of algorithm development for on-device technology, including Apple’s first Face ID on iPhone X (2017) and iPad Pro, real-time camera features (2018) shipped with decedent devices (XR, XS, XS Max) and next-gen products. Before Apple, I was a research staff in the Robotics Institute at Carnegie Mellon University on Aug. 2010–2013, and received my Ph.D. from the same institute on Jan. 2017.
I (co-)authored over 30 publications in leading journals and conferences in computer vision and machine learning. I led the early development of IntraFace, an automated face analysis software that won the Best Demo Award in IEEE Conference on Automatic Face and Gesture Recognition (AFGR) 2015. A spinoff of IntraFace, FacioMetrics, was later acquired by Facebook on Nov. 2016. I also serves as an Area Chair on AFGR and ICMI.
Ph.D. in Robotics
Carnegie Mellon University
B.S. in Computer Science
National Cheng Kung University
Litu Rout (UT Austin/Sanjay Shakkottai), 2023
“Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion”
Manli Shu (University of Maryland/Tom Goldstein), 2023
“Conditional Diffusion Models for Face Anti-Spoofing”
Yiyou Sun (University of Wisconsin-Madison/Sharon Li), 2022
“Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment”
Giannis Daras (UT Austin/Alexandros Dimakis), 2021
“Solving Inverse Problems with NerfGANs”
Jason Chong (UIUC/David Froysth), 2020
“Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval”
Shlok Mishra (UMD/David Jacobs), 2020
“Improved Detection of Face Presentation Attacks Using Image Decomposition”
Esther Robb (Virginia Tech/Jia-Bin Huang), 2019
“Few-Shot Adaptation of Generative Adversarial Networks”
Jaymo Kang (UC Berkeley), 2018
“Image Domain Transfer using Unpaired Image-to-Image Translation”
Area Chair
Organizing Committee
Conference Review
Journal Review
Awards