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Loïc is interested in combining artificial intelligence and genetics to better understand human diseases, while keeping ethics and sustainability in mind.

Academic interests

Loïc’s academic interests include: 

• Combining machine learning, genomics and medical imaging to better understand diseases, in particular cardiovascular ones
• Helping clinicians leverage artificial intelligence tools for patient care
• Sustainability in research: how to quantify and reduce the carbon footprint of computational science
• Biostatistics modelling for clinical studies (human and veterinary medicine).

Degrees obtained

• BSc, ENSAE Paris, 2017.
• MSc, ENSAE Paris, 2018.
• MSc, University of Oxford, 2018.
• PhD, University of Cambridge, 2022.

Awards and prizes

• MRC-DTP PhD Industrial Strategy Studentship in Artificial Intelligence (2018-2022)
• Cambridge University Sport’s Outstanding Contribution Award (2022)

Biography

Loïc Lannelongue is a Research Associate in Biomedical Data Science based in the Cardiovascular Epidemiology Unit and the Cambridge Baker Systems Genomics Initiative. He studies ways to use machine learning algorithms for patient care, in particular combining genetic information with medical imaging to better understand cardiovascular disease mechanisms and improve individual diagnoses. He also leads the development of the Green Algorithms project, an initiative promoting more sustainable computational science. Teaching-wise, Loïc supervises undergraduate courses related to statistics, AI, bioinformatics and epidemiology for the maths, computer science, medicine and VetMed tripos and is an Associate Fellow of Advance HE.

He 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. He 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. During these years, he was involved in the Cambridge University Modern Pentathlon and Riding Clubs.

Other interests

Photography, sports (modern pentathlon, horse riding, running, tennis).