Research Associate, Department of Public Health and Primary Care, University of Cambridge

Loïc is currently a Research Associate in Biomedical Data Science in the department. He researches ways to combine machine learning, genomics and medical imaging to better understand cardiovascular diseases. He also leads the Green Algorithms initiative to promote more environmentally sustainable computational science. Loic is also a Software Sustainability Institute Fellow, a College Post-Doctoral Associate at Jesus College, Cambridge, an Associate of the Senior Common Room at King’s College, Cambridge, and an Associate Fellow of Advance HE.

Loïc first studied in Paris (France) at Lycée Saint-Louis and ENSAE Paris where he earned a BSc and a French *Diplôme d’Ingénieur* (MSc) studying mainly mathematics and statistics, but also theoretical physics and economics. During these years, he interned as a Data Scientist at Sidetrade (Paris) and Amazon EU (Luxembourg). In 2017, he headed to the University of Oxford, where he completed an MSc in Statistics and Machine Learning. Loic joined Cambridge and the Cardiovascular Epidemiology Unit in 2018 for a PhD in Health Data Science supervised by Prof. Michael Inouye and supported by the MRC-DTP. His PhD, completed in 2022, looked at machine learning tools used to predict protein-protein interactions and the carbon footprint of computational research.

Research Interests

– Combining machine learning, genomics and medical imaging to better understand diseases, in particular cardiovascular ones.

– Helping clinicians leverage artificial intelligence tools for patient care.

– Environmentally-sustainable science: how to quantify and reduce the carbon footprint of computational science. We developed the Green Algorithms project to promote best-practices.

– Biostatistics modelling for clinical studies (human and veterinary medicine).