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AI for the study of Environmental Risks (AI4ER)

UKRI Centre for Doctoral Training

2021 Cohort (MRes)

Grace Beaney Colverd


Oliver Bell

I have an MEng in Civil Engineering from the University of Bristol and an MSc in Applied Computational Science from Imperial College London. Prior to joining the AI4ER CDT I worked in a multidisciplinary civil, structural & environmental engineering team at Arup in London, where I was particularly involved in data-driven engineering projects ranging from offshore energy infrastructure to flood mitigation. Over my short career so far, environmental risk has become the biggest technical challenge in the design and maintenance of the cities and infrastructure that our society depends on. The CDT will train me in the leading edge computational approaches required to properly address this challenge in my future career. Outside of work I enjoy participating in multiple sports, currently including swimming, triathlon, boxing and touch rugby. I’ll also never say no to a game of pool!

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, Thomas completed an MSc in the study of Energy Systems at the University of Oxford, where he wrote his thesis on the modelling of hybrid renewable energy systems and their integration with hydrogen electrolysers. This followed 3 years at the University of Manchester where he obtained his BSc in Environmental Science; specialising in the geochemical modelling of interactions between low-temperature fluids and high-strength rock. Having joined Cambridge, he hopes to build upon his interest in energy-storage and carbon-capture, particularly, in the emerging hydrogen sector.

Madeline Lisaius

Before joining the CDT, I was the Lead Data Scientist for topics of food and climate 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. I am interested in advancing applications of remote sensing to topics of food, climate and gender. 
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
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 prupose and I hope to contribute to efforts to mitigate our negative effects on the planet.