Balaji Lakshminarayanan
Senior Staff Research Scientist (TL Manager) at Google DeepMind
Mountain View, California, United States
Summary
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Senior🎓
Top SchoolBalaji Lakshminarayanan is a Senior Staff Research Scientist and team lead at Google DeepMind with 11 years of experience driving research-to-product impact in large language models and reliable deep learning. He has led efforts that shipped LLM capabilities into Bard and Gemini, focusing on self-improvement, automated evaluation, post-training methods (SFT/RLHF), alignment, synthetic data distillation, and uncertainty quantification. Previously he built and managed the Reliable Deep Learning team at Google Brain, producing research deployed across YouTube, Assistant, Ads, Maps and scientific domains like health and drug discovery. His academic work—such as Mondrian Forests from his UCL PhD—shows a long-running emphasis on principled uncertainty estimation that translates into scalable, production-ready solutions. He is a repeat award recipient at both Google and DeepMind for pioneering work that bridges theory, systems, and product launches. Colleagues describe him as a hands-on research leader who mentors early-career scientists while delivering measurable robustness improvements in real-world ML systems.
11 years of coding experience
14 years of employment as a software developer
MS, MS at Oregon State UniversityBachelor of Engineering, Bachelor of Engineering at College of Engineering, GuindyUniversity College London
Github Skills (10)
machine-learning6
mondrian6
python3
scikit3
scientific-computing2
data-science2
garden2
scikit-learn2
tree2
decision-tree2
Github contributions (5)
balajiln/mondrianforest
Jul 2014 - Feb 2016
Contributions:9 commits, 4 pushes, 6 comments in 1 year 7 months
mondrianforestsmachine-learningrandom-forests
BigBayes/SMS
May 2015 - May 2015
Contributions:2 commits, 2 pushes in 1 day
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