Abe Friesen - Senior Staff Research Scientist at Google DeepMind

Abe Friesen

Senior Staff Research Scientist at Google DeepMind

United Kingdom

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Summary

👤

Senior

🎓

Top School

Abe Friesen is a Staff Research Scientist at Google DeepMind with a decade of experience advancing large language models and reinforcement learning, notably leading the London effort on Gemini 3 and contributing to Gemma 2 and 3. His work blends research rigor and production impact, from improving reasoning and agentic behavior in Gemini to scaling post-training efficiency and stability for deployed models. A PhD in machine learning and long-standing academic collaborations (UW, MIT, UC Berkeley) underpin his expertise in probabilistic modeling, nonconvex optimization, and adaptive inference. Less visible but telling: Abe’s background spans both systems-level engineering (early peer-to-peer download systems and RGBD-driven HCI robotics) and cutting-edge RL methods, giving him a rare mix of practical engineering chops and deep theoretical insight.

11 years of coding experience

11 years of employment as a software developer

PhD, Machine learning and artificial intelligence, PhD, Machine learning and artificial intelligence at University of Washington

Bachelor of Engineering (B.Eng.), Computer Engineering, Bachelor of Engineering (B.Eng.), Computer Engineering at University of Victoria

Github Skills (9)

computer-vision10

opencv10

deep-learning10

image-processing10

non-convex9

machine-learning7

algorithm6

caffe6

cpp6

Programming languages (1)

C++

Github contributions (5)

afriesen/rdis

Jul 2015 - Nov 2015

C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.

Contributions:14 commits, 2 PRs, 12 pushes in 3 months

cppnon-convex

afriesen/opencv

Nov 2015 - Sep 2016

Contributions:9 pushes, 3 branches in 10 months

image-processingpythoncomputer-visionvision

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