Andrew Liu
Researcher at Google DeepMind
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAndrew Liu is a researcher at Google DeepMind with eight years of experience at the intersection of computer vision, machine learning, and applied statistics, focused on unsupervised and self-supervised methods. He holds BS and MS degrees from UC Berkeley and has a track record of moving research into production—from profiling YouTube backend systems and building large-scale statistical evaluation pipelines at Google to developing infrastructure for graphical data at Berkeley. At DeepMind he blends rigorous research with engineering pragmatism, applying statistical tools to real-world systems and large datasets. Based in New York, he combines academic depth with hands-on experience in deployment and instrumentation, and has a history of teaching and mentoring across Berkeley courses. An intriguing detail: his early work at HP explored novel image-encoding diagnostics that attracted patent interest, showing a long-standing knack for creative applied research.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of California, Berkeley
English
Github Skills (9)
splice10
radiance9
depth9
depth-estimation9
neural-rendering8
consistency7
volume-rendering6
pytorch6
deep-learning6
Programming languages (3)
Github contributions (5)
infinite-nature/infinite-nature.github.io
Dec 2020 - Dec 2021
Contributions:10 pushes, 1 branch in 11 months
factorize-a-city/factorize-a-city.github.io
Jul 2020 - Oct 2020
Contributions:28 pushes, 1 branch in 3 months
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