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AI for the study of Environmental Risks (AI4ER)

UKRI Centre for Doctoral Training

2021 Cohort (MRes)

Grace Beaney Colverd

Prior to joining the CDT, I worked in strategy consulting in London, as an Associate Managing Consultant at Mastercard, and before that as a Consultant with Applied Predictive Technologies. My focus was delivering data-driven analytics to Retail, Banking, and Governmental clients. I had a particular interest in financial inclusion and its impact on intersectional financial equality. 

I completed my undergraduate and masters degrees at The Queen’s College, University of Oxford, where I gained an MPhysPhil in Physics and Philosophy. My final thesis covered topics within string theory: properties of Calabi-Yau manifolds encoded within 2-interior point polytopes, and the results can be found published in the Journal of High Energy Physics. I am interested in practical applications of machine learning to protect earth systems, it’s applications to policymaking and popular science communication.

Hamish Campbell

Shortly before starting at Cambridge, I graduated from Imperial College London, where I completed my undergraduate degree in Electrical and Electronic Engineering. Having completed multiple industrial placements within various electronics departments, including within a formula one team, I decided that the CDT was the best opportunity for me to make a difference to combating climate change, while providing me with the skills I need for a career in artificial intelligence. In my spare time, I like to keep active and am willing to give most sports a go - including hockey, football, snowboarding and most recently surfing. 


Thomas Hojlund Dodd

Before arriving at Cambridge, I completed an MSc in the study of Energy Systems at the University of Oxford, where I wrote my thesis on the modelling of hybrid renewable energy systems and their integration with hydrogen electrolysers. This followed three years at the University of Manchester where I obtained my BSc in Environmental Science; specialising in the geochemical modelling of interactions between low-temperature fluids and high-strength rock. As part of Cambridge’s AI4ER CDT programme’s 2021 cohort, I finished my first-year MRes with a project on the optimisation of carbon mineralisation in basaltic rock using a sequence of reactive transport model simulation, gradient boosted decision tree emulation, and Bayesian optimisation. Moving from the Department of Earth Sciences to the Department of Materials Science and Metallurgy for my PhD, I hope to study the potential of Bayesian optimisation in the development of recyclability in thermoset composites.

Madeline Lisaius

Before joining the CDT, I was the Lead Data Scientist for topics of remote sensing, food and climate and Tom Ford Fellow at The Rockefeller Foundation. I graduated from Stanford University in 2019 with a B.S. with Honors in Earth Systems and an M.S. in Earth Systems with a focus on remote sensing for applications in macro land systems, especially agriculture. During my time at Stanford, I spent four years collaborating with indigenous women in the Ecuadorian Amazon as a National Geographic Young Explorer understanding working on projects of forest disturbance, women's empowerment through new land management regimes and the acute limitations and opportunities of Earth Observation for community-lead management. I am interested in advancing applications of remote sensing to topics of food, climate and gender as well as broadening critical discussion of Earth Observation and it's relationship to oppression and injustice.
In my PhD, I am working on adapting methods in self-supervised learning to leverage Earth Observation data for applications in agriculture.
Jonathan Roberts

I will be joining the AI4ER CDT as part of the 2021 cohort. I completed a Master of Physics degree at the University of Warwick, where I undertook research projects on the biophysics of microorganisms, global sustainable energy, and the orbital dynamics of geosynchronous satellites. After graduating, I worked as a Systems Engineer at Lockheed Martin for 3 years, conducting primarily modelling and simulation work across a diverse range of different projects and domains.


Sofija Stefanovic

Before joining AI4ER, I spent a year doing a PhD at Oxford as part of the Marie Curie Innovative training network focused on applying machine learning to study aerosol-cloud interactions, which I left to focus on more human-centred research. I am interested in remote sensing and data science applications for environmental citizen science and organising in communities disproportionately impacted by climate change, pollution and environmental degradation. I completed my MSc in theoretical physics at Oxford in 2019, and BSc in liberal arts and sciences at Amsterdam University College where I majored in physics. Outside of the CDT, I work with a citizens' initiative I co-founded in Serbia focused on environmental monitoring, advocacy and education.

Sophie Turner

I studied Computer Science at the University of Plymouth and am particularly interested in optimisation algorithms, reinforcement learning and computational chemistry. I joined the CDT with the goal of using computer science for a meaningful purpose and I hope to contribute to efforts to mitigate our negative effects on the planet.