Green Algorithms

Raising awareness about the carbon footprint of modern High Performance Computing.

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Combining medical imaging, genetic and AI to understand cardiovascular diseases

Protein interactions

How to leverage modern machine learning tools to better predict protein-protein interactions?

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I occasionally undertake paid consulting and advisory roles for industry companies interested in making computing more environmentally sustainable. I disclose these links here.


  • (03/02/2023) I went to Montpellier (France) to talk about Green Computing at the Montpellier Omics Days.
  • (26/01/2023) Green computing workshop for the students of the Data Intensive Science CDT at the University of Cambridge.
  • (19/01/2023) I was on BBC radio in the Naked Scientist show to discuss the Green Algorithms project (recording and transcript/podcast).
  • (18/01/2023) An interview with Craig Brierley about Green Algorithms featured on the University of Cambridge's website.
  • (16/01/2023) I gave an Introduction to AI lecture for Cambridge's Global Learning and Engagement Programme: "AI, with great power comes great responsibility".
  • (28/11/2022) The Green Algorithms project has a new website! Check it out at www.green-algorithms.org.
  • (23/11/2022) EMBL-EBI webinar: I gave a webinar with EMBL-EBI about the carbon footprint of computational biology. The recording is available online.
  • (15/11/2022) Green computing training for Cambridge MSc/PhD students. This week I ran training workshops about the carbon footprint of computations with graduate students of the Sensors and AI4ER CDTs.
  • (31/10/2022) AI & Medicine lecture for the students of the Master in Bioscience Enterprise at the University of Cambridge.
  • (18/10/2022) Green Algorithms in Switzerland. I travelled to Switzerland as part of SIB's Speakers Roadshow programme to discuss green computing at the University of Lausanne/SIB and the University of Basel. Slides here
  • ...more news here.