Yuliang Wang
Software Engineer, Machine Learning at Meta
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolYuliang Wang is a machine learning and computational biology engineer with over a decade of experience translating high-dimensional biomedical data into production-ready ML solutions and actionable insights. He has led and grown teams at Verily and in academia, co-invented commercially licensed patents, and published widely while mentoring postdocs and students. His work spans drug discovery startups, large-scale ads ML at Meta, and foundational computational biology tools—one of which (mCADRE) became a widely adopted, much faster method for inferring biochemical networks. Comfortable across Python, R, and SQL, he bridges rigorous academic research and product-focused engineering, often integrating multimodal data (genomics, wearables, imaging) to solve complex problems. Based in Seattle, he pairs a PhD in Chemical & Biomolecular Engineering with applied statistics training, bringing both deep domain expertise and practical delivery experience.
11 years of coding experience
15 years of employment as a software developer
B.S. Bioengineering, B.S. Bioengineering at Tianjin UniversityApplied Masters of Science Statistics, Applied Masters of Science Statistics at University of Illinois Urbana-ChampaignGithub contributions (5)
yuliangwang/prostate_cancer_spatial_metabolic_network
Jul 2019 - Feb 2021
Contributions:12 commits, 11 pushes, 1 branch in 1 year 6 months
yuliangwang/regulators_integrating_RNAseq_ChIPseq
Mar 2017 - Feb 2021
Contributions:9 pushes, 1 branch in 3 years 11 months
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