Ming-ju Tsai is a senior computational biology scientist based in Cambridge, MA, with nine years of industry and academic experience applying AI-driven methods to biological problems. He holds a PhD in Bioinformatics and Systems Biology and has transitioned from postdoctoral research at Harvard Medical School into senior roles at Kronos Bio and currently Takeda, bringing research rigor into drug-discovery pipelines. His background in medical informatics and systems biology enables him to bridge clinical datasets and mechanistic models, accelerating translational insights. Known for combining statistical genomics, machine learning, and domain knowledge, he focuses on turning complex omics signals into actionable hypotheses for therapeutic development. A detail that sets him apart is sustained productivity across both academic and pharmaceutical settings, demonstrating an ability to deliver reproducible research under different regulatory and product-driven constraints.
9 years of coding experience
Master of Science - MS, Bioinformatics and Systems Biology, Master of Science - MS, Bioinformatics and Systems Biology at National Chiao Tung University
Bachelor of Science - BS, Medical Informatics, Bachelor of Science - BS, Medical Informatics at Kaohsiung Medical University
GREMA: Modelling of emulated gene regulatory networks with confidence levels based on evolutionary intelligence to cope with the underdetermined problem
Contributions:96 commits, 26 PRs, 88 pushes in 1 year 2 months
Predicting the regulatory role of CRP transcription factor in Escherichia coli
Contributions:20 commits, 2 PRs, 32 pushes in 5 years 1 month
regulatorylibsvmtranscriptionfactorcrp
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