Jie Tan
Associate Director, Computational Science
Somerville, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJie Tan is a computational biologist and predictive sciences leader with a decade of experience turning large public datasets into actionable biological insight. Currently Director of Predictive Sciences at Solid Biosciences, Jie has progressed through senior computational roles at Affinia and Kaleido, applying unsupervised feature extraction, data integration, and ensemble deep-learning approaches to problems from microbiome translatability to cancer subtype discovery. Trained with a PhD in Molecular and Systems Biology and a Master's in Computer Science from Dartmouth, Jie uniquely blends rigorous statistical modeling with practical pipeline development for non-traditional organisms. Known for improving coexpression network methods and novel pathway inference, Jie excels at making complex omics data interpretable for translational impact. Based in Somerville, MA, Jie brings both research depth and hands-on production experience in computational biology teams.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Molecular and Systems Biology, Doctor of Philosophy (PhD) Molecular and Systems Biology at Dartmouth CollegeBachelor's degree Biotechnology, Bachelor's degree Biotechnology at Zhejiang University
English, Chinese
Github Skills (13)
signature9
gene-expression9
r-package9
classifiers9
package7
denoising7
r7
methodology7
bioinformatics7
machine-learning5
webserver4
signal1
gwas1
Programming languages (3)
Github contributions (5)
greenelab/adage
Nov 2015 - May 2016
Contributions:1 release, 5 commits, 3 PRs in 6 months
gene-expressionautoencodersbioinformaticsdenoisingdenoising-autoencoders
tj8901nm/ADAGEpath-dev
Jan 2017 - Sep 2017
Contributions:40 pushes, 7 branches in 8 months
r-packagerstats
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