Jay Tang
Director, Computational Biology, GI & Inflammation TAU
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolJay Tang is a computational biology leader with nine years of experience translating omics data into actionable insights for clinical and translational research, currently directing Computational Biology for GI & Inflammation at Takeda. He progressed rapidly through scientific and leadership roles—from hands-on bioinformatics at Cedars-Sinai to team and principal scientist positions—demonstrating both technical depth and program-level oversight. Jay focuses on evidence-based therapy development, combining PhD-level bioinformatics expertise with practical experience running genomics cores and leading cross-functional teams. Based in Los Angeles, he brings a pragmatic blend of academic rigor and industry execution, and his early interest in software (noted on GitHub) hints at a continual appetite for hands-on computational problem solving.
9 years of coding experience
7 years of employment as a software developer
University of Georgia
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
java9
template-engine9
mustache9
restful8
mvc-framework8
hexo7
lightning7
mvc6
rocket6
Programming languages (2)
Github contributions (5)
jaytangchn/remember
Jul 2016 - Dec 2021
个人记录文档
Contributions:58 commits, 2 PRs, 56 pushes in 5 years 5 months
java
jaytangchn/jaytangchn.github.io
Aug 2016 - Nov 2016
Contributions:82 pushes, 1 branch in 2 months
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