Leo He
Research Engineer at Google DeepMind
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolLeo He is a research engineer with 11 years of experience building and shipping machine learning and generative AI systems across industry and academia. Based in San Francisco, he currently works on multimodal RL and Gemini Thinking at Google DeepMind while contributing to Video AI and broader AI initiatives within Google. His background spans GenAI engineering at Oracle and Salesforce, personalization and ranking at Spotify, and leading an urban traffic environmental modeling project at Cornell, blending production ML, evaluation, and orchestration. He has strong foundations in genomics and precision-medicine data science on GitHub and a track record of building platform SDKs, training pipelines, and LLM evaluation tooling. Fluent in taking research ideas to robust engineering—deployable containers, region replication, and content-moderation protections are recurring themes in his work. Notably, he pairs deep academic training from Cornell and Sun Yat-Sen with hands-on experience managing cross-functional teams and complex ML lifecycles.
11 years of coding experience
7 years of employment as a software developer
Master of Science, Master of Science at Cornell UniversityBachelor of Science - Graduated with Honor, 3.93/4.0, Bachelor of Science - Graduated with Honor, 3.93/4.0 at Sun Yat-Sen University
French, Chinese, English
Github Skills (14)
genome-annotation8
genome7
genomics7
biology7
bioinformatics7
javascript4
browser4
seq3
rna-seq3
pipeline2
hla2
chip-seq2
inference1
type-inference1
Programming languages (3)
Github contributions (5)
hqyone/BCR_Evaluator
Feb 2019 - Aug 2021
Contributions:15 commits, 14 pushes, 1 branch in 2 years 7 months
hqyone/tRNAExplorer
Apr 2020 - Jul 2024
A small RNA-Seq NGS pipeline to analysis tRNA pool in Cells
Contributions:163 pushes, 3 branches, 1 comment in 4 years 3 months
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