I am a Senior Staff Research Scientist & Manager at Google, where I lead a wonderful team of scientists and engineers developing production-level CV/ML/AI models. My work anchors Google’s identity intelligence, specializing perception and generative models that power Google’s Face Unlock. I spearheaded this technology’s evolution from its first launch on Pixel 4 (2019) with NIR sensors, to commodity RGB sensor deoployment across all Pixel tiers, including Pixel 7 (2022), Pixel Fold & 7a and Pixel 8 (2023), Pixel 8a and 9 Series (2024), Pixel 9a and 10 Series (2025).
Prior to Google, I was a Deep Learning Scientist at Apple, playing a central role in developing on-device models for Apple’s first Face ID on iPhone X and iPad Pro (2017), along with real-time camera features for subsequent iPhones (2018). I hold a Ph.D. from the Robotics Institute at Carnegie Mellon University, where I also served as research staff from 2010 to 2013.
My research bridges deep academic theory with tangible industry impact, reflected in over 40 top-tier CV/ML publications. Notably, I led the foundational development of IntraFace, an automated face analysis software that won the FG 2015 Best Demo Award, which successfully spun off FacioMetrics (CMU spinoff acquired by Facebook in 2016), and later received the 2026 Test of Time Award. Beyond core R&D, I actively support the academic community by regularly serving as a conference Area Chair and lecturing at Summar School on Biometrics.
Ph.D. in Robotics
Carnegie Mellon University
Interns
Students
Area Chair
Organizing Committee
Conference Review
Journal Review
Awards
