Lawrence Wu
Principal Data Scientist
Irvine, California, United States
Summary
👤
Senior🎓
Top SchoolLawrence Wu is a Principal Data Scientist based in Irvine with over a decade of experience designing and shipping machine learning systems across finance, healthcare, and HR-tech. He has progressed from actuarial and analytics roles into senior ML and data science leadership at firms including PIMCO, Medidata, and UKG, blending rigorous statistical training from UC Berkeley with a CS master’s from Georgia Tech. Known for both production-grade model development and backend engineering, he has hands-on experience refactoring repository logic and improving system reliability in open-source projects like MarkUs. Colleagues rely on him to translate complex domain requirements into robust, scalable pipelines and to mentor teams through the full model lifecycle. He pairs strong quantitative instincts with practical production experience, often surfacing non-obvious data and process improvements that reduce operational risk.
12 years of coding experience
7 years of employment as a software developer
Statistics, Statistics at University of California, BerkeleyMaster's degree Computer Science, Master's degree Computer Science at Georgia Institute of TechnologyBusiness Administration, Business Administration at University of California, Berkeley, Haas School of Business
Chinese
Stackoverflow
3reputation
0reached
0answers
0questions
Github Skills (4)
ruby-on-rails10
rails10
git10
back-end-development10
Programming languages (7)
Github contributions (5)
MarkUsProject/Markus
May 2014 - May 2015
Git repository of MarkUs
Role in this project:
Back-end Developer
Back-end DeveloperContributions:160 commits, 1 PR, 7 comments in 1 year
Contributions summary:Lawrence primarily focused on implementing features and fixing bugs within the back-end of the MarkUs system. Their work included implementing eager loading for index actions, code formatting, and fixing various issues related to submissions, gitolite administration, and file management. The user also refactored several git repository methods and started abstracting git commits into revisions, demonstrating a focus on improving the core repository functionality.
lvwrence/berri
Aug 2014 - Sep 2014
Contributions:45 commits in 28 days
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