I was initially trained in Paris (France) at Lycée Saint-Louis (2013-15) and ENSAE Paris (2015-17), where I earned a BSc and a french Diplôme d’ingénieur (MSc) studying mainly mathematics and statistics, but also theoretical physics and economics. During these years, I interned as a Data Scientist at Sidetrade (Paris) and Amazon EU (Luxembourg). In 2017, I headed to the University of Oxford, where I completed an MSc in Statistics and Machine Learning (with Distinction). My Master’s thesis focused on developing a Bayesian tree-based algorithm to predict the length of hospital stays for patients, working with Prof. Mihaela van der Schaar. I joined the Inouye Lab and the University of Cambridge in 2018 after my graduation for a PhD in Health Data Science supervised by Prof. Mike Inouye.
I’m supported by the MRC Doctoral Training Program through the Industrial Strategy PhD studentship in Data Science and Artificial Intelligence, and HDR-UK. At the University of Cambridge, I’m based in the BHF Cardiovascular Epidemiology Unit and the Cambridge Baker Systems Genomics Initiative. I’m also a member of Clare Hall College.
The primary focus of my PhD is the prediction of Protein-Protein Interactions (PPIs) using Machine Learning. I am also interested in the environmental impact of computer-based research. We developed the Green Algorithms project to push forward the discussion around this issue. More info on www.green-algorithms.org . And I contribute to clinical studies to advise on statistical methodology.
More details about those here: https://llannelongue.github.io
- L. Lannelongue*, J. Grealey* and M. Inouye, “Green Algorithms: Quantifying the carbon emissions of computation”, arXiv, July 2020.
- J. Grealey*, L. Lannelongue*, W. Saw, J. Marten, G. Meric, S. Ruiz-Carmona and M. Inouye, The carbon footprint of bioinformatics, bioRxiv, March 2021.
- J. Roos, C. Aubanel, Z. Niewiadomska, L. Lannelongue, C. Maenhoudt, and A. Fontbonne, “Triplex doppler ultrasonography to describe the uterine arteries during diestrus and progesterone profile in pregnant and non-pregnant bitches of different sizes”, Theriogenology, Jan. 2020.