During my PhD, I focused on better understanding and standardising the prediction of Protein-Protein Interactions (PPIs) using Machine Learning. More

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 here and on www.green-algorithms.org

I also contribute to clinical studies to advise on statistical methodology.

Selected publications

A complete list of publications is available on Google Scholar.

* equal contributions

Selected talks

  • “AI and Sustainability”
    Panelist, SGAI-2021 International Conference on Artificial Intelligence
    December 2021

  • Green Computing made easy.
    Invited talk, Computational Biology Going Green special session at ISMB/ECCB 2021
    June 2021
    Recording here

  • Artificial Intelligence and Machine Learning for Science.
    Lecture, Baker Heart and Diabetes Institute, Melbourne, Australia
    September 2020

More talks

  • Energy impacts of ML and AI.
    Invited talk, Lancaster Data Science Institute
    February 2022
    Recording here

  • The carbon footprint of computational biology: why we should worry and how to make research more sustainable.
    Conference talk, eSCAMPS
    September 2021
    Slides here

  • The Green Algorithms project: quantifying the carbon impact of bioinformatics and genomics.
    Conference talk, CSHL Meeting on Biological Data Science
    November 2020

  • Green Algorithms: quantifying the carbon impact of computations.
    Varsity Sci conference between Oxford and Cambridge
    September 2020
    Recording here and slides here.
    Article about it in The Oxford Scientist here.

  • The Green Algorithms project: quantifying the carbon impact of bioinformatics and genomics.
    Conference talk, 6th European Student Council Symposium, ISCB 2020
    September 2020 Recording here and slides here.

  • The environmental impact of (bio)informatic research
    Scientific meeting, BHF Cardiovascular Epidemiology Unit, DPHPC, University of Cambridge
    February 2020

  • Machine Learning 101
    Departmental workshops (2 x 1h) introducing biostatisticians and clinicians to machine learning, Department of Public Health and Primary Care, University of Cambridge
    December 2019

  • Predicting new disease-genes using machine learning and protein-protein interaction networks
    1st year PhD presentation, Department of Public Health and Primary Care, University of Cambridge
    June 2019

  • Predicting new disease-genes using machine learning and protein-protein interaction networks
    Flash talk, Cambridge-Baker System Genomics Initiative launch event, Cambridge
    March 2019

Conference posters

  • Green Algorithms: Quantifying the carbon impact of genomics.
    Flash talk & poster, Wellcome Genome Campus conference Genome Informatics
    September 2020 Flash talk here and poster here

  • Using Machine Learning to predict protein-protein interaction networks
    Flash talk & Poster, Cambridge Network Days
    August 2019