Lannelongue group University of Cambridge, UK

Loïc is particularly interested in understanding and mitigating the environmental impacts of scientific computing through building tools for carbon footprint monitoring, contributing to sustainability policies and designing frameworks for sustainable research. More on the group’s research here.

Current roles

2025 - …      Senior Research Associate, Dept of Public Health & Primary Care, University of Cambridge
2024 - …      Visiting Scientist, EMBL-EBI (European Bioinformatic Institute)
2024 - …      Chair, ISCB Green task force (International Society of Computational Biology)
2023 - …      Fellow, Software Sustainability Institute
2022 - …      College Associate, Jesus College, Cambridge

Previous roles

2022 - 2024      Research Associate, Department of Public Health & Primary Care, University of Cambridge
2023 - 2024      Member, ISCB Green task force (International Society of Computational Biology)
2022 - 2023      Associate of the Senior Common Room, King’s College, Cambridge

Education

2022      PhD in Health Data Science, University of Cambridge, UK. Supervised by Prof Michael Inouye. Thesis: Inference frameworks in computational biology: from protein-protein interaction networks using machine learning to carbon footprint estimation.
2018      MSc in Statistical Science, University of Oxford, UK
2017      Diplôme d’Ingénieur (MSc) in Applied Maths, ENSAE Paris, France
2016      BSc in Applied Mathematics, ENSAE Paris and Lycée Saint Louis, France

Biography

Short biography for talks

Dr Loïc Lannelongue is a Senior Research Associate at the University of Cambridge focusing on environmentally sustainable computing and based in the Heart and Lung Research Institute in Cambridge, UK. He leads the Green Algorithms initiative which promotes more environmentally sustainable computational science. He also manages the Green DiSC certification framework for sustainable computing. His research interests also include radiogenomics, i.e. combining medical imaging and genetic information with machine learning to better understand and treat cardiovascular diseases. He is a Software Sustainability Institute Fellow, a College Associate at Jesus College, Cambridge, a visiting scientist at the European Bioinformatic Institute (EMBL-EBI) and an Associate Fellow of the Higher Education Academy.

Loïc is a Senior Research Associate at the University of Cambridge in the Cardiovascular Epidemiology Unit (Department of Public Health and Primary Care) and the VPD Heart and Lung Research Institute. He is a Software Sustainability Institute Fellow, a visiting scientist at EMBL-EBI, a College Associate at Jesus College, Cambridge, and 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) majoring in mathematics and statistics, with minors in theoretical physics and economics. He then earned an MSc in statistics and machine learning from the University of Oxford. He joined Cambridge and the Cardiovascular Epidemiology Unit (Dept of Public Health & Primary Care) 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. From 2022 to December 2024, he continued in Cambridge as a Research Associate to pursue his work on Environmentally Sustainable Computational Science. He started his own research group in the same department at the start of 2025.

He is also interested in radiogenomics, i.e. combining medical imaging and genetic information with machine learning to better understand and treat cardiovascular diseases. This work is part of the Cambridge Baker Systems Genomics Initiative led by Prof. Michael Inouye.

All papers on Loïc’s ORCID:

2024

Modeling the increase of electronic waste due to generative AI
Loïc Lannelongue
Nature Computational Science  ·  08 Nov 2024  ·  doi:10.1038/s43588-024-00726-0
The Heidelberg Agreement on Environmental Sustainability in Research Funding
Philipp M. Weber, Sandra Bendiscioli, Gerlind Wallon, Uwe von Ahsen, Anne Marie de Beaufort, …, Teresa Sanchis, Susan Simon, Mathew Tata, Gisou van der Goot, Fiona M. Watt
Zenodo  ·  22 Oct 2024  ·  doi:10.5281/ZENODO.13938809
Measuring and reducing the carbon footprint of fMRI preprocessing in fMRIPrep
Nicholas E. Souter, Nikhil Bhagwat, Chris Racey, Reese Wilkinson, Niall W. Duncan, Gabrielle Samuel, Loïc Lannelongue, Raghavendra Selvan, Charlotte L. Rae
Human Brain Mapping  ·  15 Aug 2024  ·  doi:10.1002/hbm.70003
Comparing the carbon footprint of fMRI data processing and analysis approaches
Nicholas Edward Souter, Chris Racey, Nikhil Bhagwat, Reese Wilkinson, Niall W Duncan, Gabby Samuel, Loïc Lannelongue, Raghavendra Selvan, Charlotte Rae
Center for Open Science  ·  16 Jul 2024  ·  doi:10.31219/osf.io/k8gte
Prioritize environmental sustainability in use of AI and data science methods
Caroline Jay, Yurong Yu, Ian Crawford, Scott Archer-Nicholls, Philip James, …, Robert Haines, Loïc Lannelongue, Emily Lines, Scott Hosking, David Topping
Nature Geoscience  ·  26 Jan 2024  ·  doi:10.1038/s41561-023-01369-y
Measuring and reducing the carbon footprint of fMRI preprocessing in fMRIPrep
Nicholas Edward Souter, Nikhil Bhagwat, Chris Racey, Reese Wilkinson, Niall W Duncan, Gabby Samuel, Loïc Lannelongue, Raghavendra Selvan, Charlotte Rae
Center for Open Science  ·  19 Jan 2024  ·  doi:10.31219/osf.io/wmzcq
Pitfalls of machine learning models for protein–protein interaction networks
Loïc Lannelongue, Michael Inouye
Bioinformatics  ·  10 Jan 2024  ·  doi:10.1093/bioinformatics/btae012

2023

Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging
Nicholas E. Souter, Loïc Lannelongue, Gabrielle Samuel, Chris Racey, Lincoln J. Colling, Nikhil Bhagwat, Raghavendra Selvan, Charlotte L. Rae
Imaging Neuroscience  ·  01 Dec 2023  ·  doi:10.1162/imag_a_00043
Environmental Impacts of Machine Learning Applications in Protein Science
Loïc Lannelongue, Michael Inouye
Cold Spring Harbor Perspectives in Biology  ·  01 Dec 2023  ·  doi:10.1101/cshperspect.a041473
Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging
Nicholas Edward Souter, Loïc Lannelongue, Gabby Samuel, Chris Racey, Lincoln J Colling, Nikhil Bhagwat, Raghavendra Selvan, Charlotte Rae
Center for Open Science  ·  08 Aug 2023  ·  doi:10.31219/osf.io/7q5mh
GREENER principles for environmentally sustainable computational science
Loïc Lannelongue, Hans-Erik G. Aronson, Alex Bateman, Ewan Birney, Talia Caplan, Martin Juckes, Johanna McEntyre, Andrew D. Morris, Gerry Reilly, Michael Inouye
Nature Computational Science  ·  26 Jun 2023  ·  doi:10.1038/s43588-023-00461-y
An atlas of genetic scores to predict multi-omic traits
Yu Xu, Scott C. Ritchie, Yujian Liang, Paul R. H. J. Timmers, Maik Pietzner, …, Xueling Sim, Claudia Langenberg, James F. Wilson, Adam S. Butterworth, Michael Inouye
Nature  ·  29 Mar 2023  ·  doi:10.1038/s41586-023-05844-9
Carbon footprint estimation for computational research
Loïc Lannelongue, Michael Inouye
Nature Reviews Methods Primers  ·  16 Feb 2023  ·  doi:10.1038/s43586-023-00202-5

2022

An atlas of genetic scores to predict multi-omic traits
Yu Xu, Scott C. Ritchie, Yujian Liang, Paul R. H. J. Timmers, Maik Pietzner, …, Xueling Sim, Claudia Langenberg, James F. Wilson, Adam S. Butterworth, Michael Inouye
Cold Spring Harbor Laboratory  ·  17 Apr 2022  ·  doi:10.1101/2022.04.17.488593
The Carbon Footprint of Bioinformatics
Jason Grealey, Loïc Lannelongue, Woei-Yuh Saw, Jonathan Marten, Guillaume Méric, Sergio Ruiz-Carmona, Michael Inouye
Molecular Biology and Evolution  ·  10 Feb 2022  ·  doi:10.1093/molbev/msac034
Pitfalls of machine learning models for protein-protein interactions
Loïc Lannelongue, Michael Inouye
Cold Spring Harbor Laboratory  ·  08 Feb 2022  ·  doi:10.1101/2022.02.07.479382

2021

Ten simple rules to make your computing more environmentally sustainable
Loïc Lannelongue, Jason Grealey, Alex Bateman, Michael Inouye
PLOS Computational Biology  ·  20 Sep 2021  ·  doi:10.1371/journal.pcbi.1009324
Green Algorithms: Quantifying the Carbon Footprint of Computation
Loïc Lannelongue, Jason Grealey, Michael Inouye
Advanced Science  ·  02 May 2021  ·  doi:10.1002/advs.202100707

2019

Triplex doppler ultrasonography to describe the uterine arteries during diestrus and progesterone profile in pregnant and non-pregnant bitches of different sizes.
J Roos, C Aubanel, Z Niewiadomska, L Lannelongue, C Maenhoudt, A Fontbonne
Theriogenology  ·  12 Sep 2019  ·  pmid:31541785
Gene Regulatory Networks to Explain Coronary Artery Disease Heritability.
Michael Inouye, Loïc Lannelongue
Journal of the American College of Cardiology  ·  18 Jun 2019  ·  pmid:31196452

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