Michael Tang
Machine Learning Engineer at Meta
Durham, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolMichael Tang is a machine learning engineer with nine years of multidisciplinary experience bridging biomedical engineering and data science; he holds an MIDS from Duke and an M.Eng in Biomedical Engineering. He has applied ML at scale across healthcare and consumer products—from substance-abuse prediction and telehealth analytics in academic settings to travel insurance recommendation systems at Expedia and ranking models for Instagram Reels at Meta. Skilled in statistical modeling, deep learning, NLP, and data visualization, he focuses on translating complex patterns into actionable, socially meaningful insights. Comfortable in fast-paced, collaborative environments, he combines hands-on production engineering with domain knowledge in healthcare, enabling scalable solutions that respect clinical context. An educator and researcher as well as an industry practitioner, he brings a rare blend of communication and technical rigor to cross-functional teams.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (B.Eng.) Electrical and Biomedical Engineering, Bachelor of Engineering (B.Eng.) Electrical and Biomedical Engineering at McMaster UniversityMaster of Interdisciplinary Data Science Data Science, Master of Interdisciplinary Data Science Data Science at Duke UniversityM.Eng Biomedical Engineering, M.Eng Biomedical Engineering at University of Toronto
English, Chinese
Github Skills (2)
classifier8
machine-learning3
Programming languages (2)
Github contributions (5)
MTang0728/hello-world
Feb 2017 - Jul 2019
Contributions:2 PRs, 3 pushes, 3 branches in 2 years 4 months
reactboilerplateeslintjesttypescript
MTang0728/MTang0728.github.io
Jan 2021 - Dec 2021
Contributions:16 pushes, 1 branch in 11 months
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