Mélodie Monod
Senior Fellow In Artificial Intelligence at Université Paris Dauphine - PSL
London, England, France
Summary
🤩
Rockstar🎓
Top SchoolMélodie Monod is a statistician and machine learning researcher with six years’ experience translating complex data into actionable public health insights, most recently as Principal Biostatistician at Novartis and now a Senior Fellow in AI and visiting researcher at top UK institutions. She earned an MSc with distinction and completed a funded PhD in Modern Statistics and Statistical Machine Learning at Imperial College London, where her Bayesian work estimated age-specific infectious disease transmission dynamics. Mélodie combines rigorous academic research—ongoing as an Honorary Research Associate at Imperial and collaborator with Oxford—with hands-on expertise in R, Stan, and Python to build open, reproducible statistical tools. Her applied portfolio spans mobile-phone, spatio-temporal, time-to-event, survey and genomic sequencing data, driving interventions across public health contexts. Notably, she was the top undergraduate in Economics and Statistics in Geneva and the first student to finish her CDT cohort, reflecting both deep technical skill and consistent academic leadership.
6 years of coding experience
Doctor of Philosophy - PhD, Modern Statistics and Statistical Machine Learning, Doctor of Philosophy - PhD, Modern Statistics and Statistical Machine Learning at Imperial College LondonBachelor of Science - BS, Economics, 5.71/6, Bachelor of Science - BS, Economics, 5.71/6 at Université de Genève
French, English
Github Skills (27)
corona10
survival-analysis10
sports-data10
next-generation-sequencing9
genome9
sequencing9
infectious-diseases9
pathogen9
genomics8
python8
machine-learning8
bioinformatics8
pytorch7
hosts7
phylogenetics7
Programming languages (5)
Github contributions (5)
ImperialCollegeLondon/BSplinesProjectedGPs
Oct 2022 - Oct 2022
Contributions:1 commit, 8 PRs, 487 pushes in 1 day
ImperialCollegeLondon/US-covid19-agespecific-mortality-data
May 2020 - May 2021
Extract COVID-19 age-specific mortality counts in U.S states and metropolitan areas
Contributions:1 release, 1246 commits, 6 PRs in 11 months
agecountsmortalitysports-dataareas
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