Ming Tang is a Director of Bioinformatics with 11 years of experience building and leading teams that turn complex multi-omic data into actionable insights for drug discovery and clinical trials. Currently leading epigenetics bioinformatics at AstraZeneca, he has a strong track record scaling cloud-based pipelines and single-cell analyses from academia to industry, including leadership roles at Immunitas, Dana-Farber, and MD Anderson. He champions reproducible research and open science, contributing practical DevOps and automation scripts for genomics tooling on GitHub. A PhD-trained computational biologist who started in the wet lab, Ming uniquely blends hands-on sequencing expertise with software-driven workflows and a history of mentoring and curriculum leadership to train the next generation of bioinformaticians.
11 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Biotechnology, Bachelor’s Degree, Biotechnology at Shanghai Jiao Tong University
CSCI E-88b: Computing for Big Data, grade A, CSCI E-88b: Computing for Big Data, grade A at Harvard Extension School
Doctor of Philosophy (PhD), Genetics and Genomics, Doctor of Philosophy (PhD), Genetics and Genomics at University of Florida
Unix, R and python tools for genomics and data science
Role in this project:
DevOps Engineer
Contributions:580 commits, 4 PRs, 584 pushes in 7 years 2 months
Contributions summary:Ming contributed significantly to automating and streamlining tasks within the repository, primarily through shell scripts. Their work includes creating scripts for viewing CSV files, performing unique operations on CSV data, and synchronizing files in parallel. The user also developed a script to install tmux and set up its environment. These contributions showcase a focus on automating development workflows and managing system utilities.
Contributions:392 pushes, 1 branch in 6 years 9 months
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