AI Centre & Computer Science,
University College London,
90 High Holborn
London, WC1V 6BH
Current research interests: AI for sustainability and governance; Recommendation Systems; Human-AI collaboration; Responsible AI; Simulation Intelligence and Digital Twins.
I am looking for
PhD students to join work on these topics through the Foundational AI CDT, if you are interested please send me an email with an introduction, your CV and a short research proposal.
I am currently working on bringing
sustainability and responsible innovation to the computer science arena. I am co-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.
I work in what I call
planet-centered AI, developing responsible AI technologies for people, the planet and the
challenges of the human-led era of the Anthropocene (e.g. need for solutions for climate change mitigation & adaptation and supporting policy makers). So far, my contributions on the development and real-world deployment of these technologies have had impact in areas as diverse as biomedicine, environmental sustainability and educational technology.
I am interested in questions such as: How can we leverage AI to faithfully capture
the dynamics of our social and environmental ecosystems, creating
digital twins? How could we leverage these computational systems for
governance? How to make AI more
responsible, ethical, robust, transparent, accountable…? How do we create
a new hybrid collaborative and interactive intelligence, that is neither artificial nor human, but rather a mix of both of our strengths?
|Nov 28, 2022|| Got awarded a UCL Grand Challenges award, category |
|Nov 24, 2022|| My piece at WIRED on |
|Sep 15, 2022|| My piece at WIRED on |
|Sep 10, 2022||Our latest publication on empowering educational tech has been published at the Journal of Sustainability!|
|Jun 20, 2022||Our new special issue on the Risks and possibilities of AI in education is open for submissions!|
- SustainabilityPower to the Learner: Towards Human-Intuitive and Integrative Recommendations with Open Educational ResourcesSustainability Sep 2022
- SciRepNetwork topological determinants of pathogen spreadScientific Reports Sep 2022
- NatCommsSeasonal Arctic sea ice forecasting with probabilistic deep learningNature communications Sep 2021
- JMLRTighter risk certificates for neural networksJournal of Machine Learning Research Sep 2021