EEG

You can find a bit more information about me and recent publications on my personal website.

I am a third-year PhD student in Computer Science (Energy and Environment Group) and Plant Sciences (Forest Ecology and Conservation Group). I am co-supervised by Srinivasan Keshav and David Coomes. My research investigates the use of spaceborne LiDAR, paired with optical and radar satellite remote sensing, to study tropical forest regrowth and disturbance.

I work at the intersection of artificial intelligence, biology and climate change. In particular, I reserach on using artificial intelligence to tap into biology’s potential to mitigate environmental problems (via protein design, enzyme optimisation) and on developing artificial intelligence to understand the impacts of changing environmental conditions on biological systems (protein stability, metabolic modelling).

In my research, I'm interested in developing probabilistic machine learning tools and apply them to climate-related problems. 

More specifically, my current research is motivated by the following questions:

(1) What will be the temperature at any specific location in 2050 (or any other mid-long term forecast)? 

(2)  How can we reason about temperatures and their associated uncertainties when we can barely say what will be the temperatures next week?

In my research I aim to use probabilistic machine learning tools to study risk from future climate extremes.

I am supervised by Dr Carl Henrik Ek and Dr Emily Shuckburgh, and am a member of the AI4ER Centre for Doctoral Training.