Albert Chen
Research Engineer at Google DeepMind
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolAlbert Chen is a research engineer based in the San Francisco Bay Area with five years of experience applying statistics and machine learning to real-world products. He progressed through data science and applied research roles at LinkedIn—where he led adoption of causal methods, won KDD recognition for a time-series forecasting tool, and built an enterprise Text-to-SQL assistant—before moving to Google DeepMind to work on Gemini. Trained at Stanford in mathematics and statistics, he blends theoretical rigor with product-minded engineering, especially around RL post-training and agentic model tooling. Notably, his work drove centralized best practices for experimentation and metrics at scale, influencing organization-wide decision-making.
5 years of coding experience
13 years of employment as a software developer
Bachelor of Science (BS) Mathematics, Bachelor of Science (BS) Mathematics at Stanford University
Github Skills (10)
time-series9
forecasting9
deep-learning8
machine-learning8
python8
cran4
hierarchical4
forecasts3
hts3
r3
Programming languages (2)
Github contributions (2)
linkedin/greykite
May 2021 - Aug 2022
A flexible, intuitive and fast forecasting library
Contributions:3 releases, 8 reviews, 8 commits in 1 year 4 months
forecastingpythondeep-learningmachine-learningintuitive
earowang/hts
Sep 2021 - Sep 2021
Hierarchical and Grouped Time Series
Contributions:1 comment, 2 issues in 3 days
time-series-analysiscranhierarchicalforecastshts
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