María Pérez-Ortiz


UCL AI Centre

90 High Holborn

London, WC1V 6BH

I am Lecturer (Assistant Professor) at the Dept. of Computer Science at University College London. Previously, I was Senior Research Fellow at the same department and Research Associate at the University of Cambridge.

I have worked in the last 12 years in topics related to biomedicine, sustainable agriculture, climate change and environmental modelling, neuroscience and educational technology. Nowadays I am interested in building the technical and responsibility foundations needed to address global sustainability challenges, specifically regarding environmental modelling and policy.

I am currently working on bringing sustainability and responsible innovation topics to the computer science arena. I am Deputy Director of the first MSc program on AI for Sustainable Development, as well as module leader of two courses at UCL: i) AI for Sustainable Development and ii) Transparent, Accountable and Responsible AI.

In 2022, I worked on creating the first conference on human-centered AI, and I am part of its steering committee now.

I sometimes write poems on tech and sustainability in my blog The AI has gone bananas.

Interests: responsible AI; environmental digital twinning; sustainable agritech; recommender systems and simulation intelligence for policy making; education for sustainability.


Jul 28, 2022 I am joining WIRED as a Media Fellow!
Jun 20, 2022 Our new special issue on the Risks and possibilities of AI in education is open for submissions!
Jun 1, 2022 Our workshop on The (eco)systemic challenges in AI is happening soon at HHAI!
May 10, 2022 Our London Tech and Sustainability Meetup is restarting soon!
May 1, 2022 Joined the steering committee to improve Education for Sustainable Development at UCL.

Selected publications

  1. SciRep
    Network topological determinants of pathogen spread
    Perez-Ortiz, M., Manescu, P., Caccioli, F., Fernández-Reyes, D., Nachev, P., and Shawe-Taylor, J.
    Scientific Reports 2022
  2. NatComms
    Seasonal Arctic sea ice forecasting with probabilistic deep learning
    Andersson, T., Hosking, S.,  Perez-Ortiz, M., Paige, B., Elliott, A., Russell, C., Law, S., Jones, D., Wilkinson, J., and Phillips, T.
    Nature communications 2021
  3. JMLR
    Tighter risk certificates for neural networks
    Perez-Ortiz, M., Rivasplata, O., Shawe-Taylor, J., and Szepesvári, C.
    Journal of Machine Learning Research 2021