Biography
I am a Senior Staff Research Scientist at Google DeepMind, leading R&D for frontier, production-grade CV/ML/AI solutions to empower Gemini and drive its adoption across Google’s devices and services. My current work focuses on advanced human interfaces, specializing in multimodal understanding and generative models. Before joining GDM, I led a team to build the technology for Google’s Face Unlock, spearheading its evolution from its NIR-sensor debut on Pixel 4 (2019) to an industry-leading, commodity RGB standard across all Pixel form factors (entry/premium/foldable), spanning Pixel 7 (2022), Pixel Fold, 7a & Pixel 8 (2023), Pixel 8a & 9 Series (2024), Pixel 9a & 10 Series (2025), and 11 Series (2026), alongside its debut on Googlebook (2026).
Prior to Google, I was a Deep Learning Scientist at Apple, where I played 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 (2010-2013).
My work bridges academic theory with real-world scale, reflected in over 40 top-tier CV/ML publications. I led the foundational development of IntraFace (AFGR 2015 Best Demo Award, 2026 Test of Time Award), an automated face analysis software that spun off into FacioMetrics (acquired by Facebook, 2016). I also support academic community by regularly serving as an Area Chair in major AI/ML conferences and a lecturer at Summer School on Biometrics.
Interests
- Machine Learning
- Computer Vision
- On-device AI
Education
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Ph.D. in Robotics
Carnegie Mellon University
