Eiryo Kawakami
Team Leader at Chiba University
Kawasaki, Japan
Summary
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Senior🎓
Top SchoolEiryo Kawakami is a team leader and experienced computational biologist with 10+ years leading network modeling and machine learning projects at RIKEN and as a professor at Chiba University. He bridges experimental virology and systems biology, having developed novel qRT-PCR/FISH assays and led exhaustive siRNA screens to map host factors in influenza replication. Since 2013 he has built comprehensive biological reaction networks and pioneered network-based analyses, uncovering a proposed universal stabilization mechanism in stress response. More recently he applied statistical and ML methods to medical data, predicting ovarian cancer stage and tissue type from routine blood tests and developing state-space time-series tools for irregular clinical data. His work uniquely combines hands-on wet-lab innovation with large-scale data reanalysis (≈7,000 ChIP datasets) and methodological contributions like weighted parametric Gene Set Analysis. Based in Kawasaki, Japan, he translates deep theoretical interests in nonlinear and stochastic biology into practical tools for disease modeling and diagnostics.
10 years of coding experience
博士, 病因病理学, 博士, 病因病理学 at 東京大学Github contributions (5)
eiryo-kawakami/wPGSA
Jan 2016 - Oct 2016
Contributions:4 commits, 3 PRs, 16 pushes in 9 months
eiryo-kawakami/yeast-stress-response
Aug 2015 - Oct 2015
Contributions:5 pushes, 1 branch in 2 months
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