Abe Friesen
Staff Research Scientist at Google DeepMind
United Kingdom
Summary
👤
Senior🎓
Top SchoolAbe 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.
10 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 WashingtonBachelor of Engineering (B.Eng.), Computer Engineering, Bachelor of Engineering (B.Eng.), Computer Engineering at University of Victoria
Github Skills (11)
computer-vision10
opencv10
deep-learning10
python10
image-processing10
decomposition8
recursive8
caffe6
machine-learning6
optimization5
pytorch5
Programming languages (1)
Github contributions (5)
afriesen/rdis
Jul 2015 - Nov 2015
Contributions:14 commits, 2 PRs, 12 pushes in 3 months
decompositionnonconvex-optimizationoptimizationijcairecursive
afriesen/opencv
Nov 2015 - Sep 2016
Contributions:9 pushes, 3 branches in 10 months
image-processingpythoncomputer-visionvision
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