Guillaume Drouart is a Principal Data Scientist with nine years of cross-disciplinary experience applying Bayesian statistics and large-scale data engineering to problems in health, energy, environment and astrophysics. He led the operationalisation of a malaria risk stratification model for policy use, managed an international Indigenous multi-omics clinical trial with bespoke data governance, and built scalable tools for handling SKA-precursor radio astronomy datasets. Equally comfortable producing production-ready R packages and migrating models to AWS as he is writing Python Bayesian SED fitting code, he blends research rigor with productionisation skills. Based in Western Australia, he also drives practical sustainability efforts—helping estimate his institute’s carbon footprint—and bikes everywhere with his three children. Notably, his background in galaxy evolution taught him to solve needle-in-a-haystack problems at planetary scale, a mindset he brings to public health and energy-transition challenges.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BS), Theoretical and Mathematical Physics, Bachelor of Science (BS), Theoretical and Mathematical Physics at Université de Poitiers
Doctor of Astrophysics, Galaxy Evolution, Doctor of Astrophysics, Galaxy Evolution at Université Paris Sud (Paris XI)
Master of Science (MS), Astrophysics, Master of Science (MS), Astrophysics at Observatoire de Paris
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.