Michael Dayan
AI 4 Health Lead at International Committee of the Red Cross - ICRC
Geneva, Geneva, Switzerland
Summary
👤
Senior🎓
Top SchoolMichael Dayan is an AI-for-health leader and data science manager with 13 years of experience translating advanced neuroimaging and biomedical research into production-ready health AI products. Currently leading AI 4 Health at the ICRC after managing data science teams at Campus Biotech and advising medical AI startups, he blends hands-on ML/statistics with product ownership and Scrum delivery. His background spans academic neuroimaging (Weill Cornell, Fondazione Santa Lucia, UCL) and practical contributions to open-source neuroimaging tooling (fixes to SPM/FSL interfaces in the widely used nipype project). Michael is skilled at turning complex analyses into intuitive dashboards and interactive visualizations that drive clinical decisions and stakeholder buy-in. Trained in physics and medical physics with elite fellowship pedigree (The Data Incubator), he brings both rigorous quantitative foundations and a track record of stabilizing core research software for clinical use.
12 years of coding experience
13 years of employment as a software developer
Computing, Electronics, Computing, Electronics at CPE LyonInternational Diploma, Physics, International Diploma, Physics at Imperial College LondonMSc, Physics, MSc, Physics at Paris-Sud University (Paris XI)University College London
English, French
Github Skills (9)
fs10
workflow-engine10
spi10
spim10
python10
spu10
neuroimaging10
spmd10
brain-imaging10
Programming languages (11)
Github contributions (5)
nipy/nipype
Jun 2013 - Jun 2019
Workflows and interfaces for neuroimaging packages
Role in this project:
Back-end Developer
Back-end DeveloperContributions:97 commits, 8 PRs, 38 comments in 6 years 1 month
Contributions summary:Michael's contributions focused on modifying SPM interfaces within the neuroimaging package. Their work involved fixing issues related to SPM interfaces, specifically addressing errors in the Segment and ApplyTransform modules. The user also made updates to the Automask interface and the handling of the out_file parameter in the FSL utilities. These changes indicate a focus on improving the functionality and stability of core neuroimaging tools.
workflowneuroimagingpythondata-scienceworkflow-engine
mick-d/mick-d.github.io
Feb 2019 - Nov 2019
Contributions:1 PR, 82 pushes, 1 branch in 9 months
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