people

members of the lab or group


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layout: about title: about permalink: / subtitle: profile: align: right image: jonathan-roberts-square-profile.png image_circular: false # crops the image to make it circular more_info: > <p>Cambridge, UK</p>

news: false # includes a list of news items selected_papers: true # includes a list of papers marked as “selected={true}” social: true # includes social icons at the bottom of the page —

I am a PhD student based in the Machine Intelligence Laboratory at the University of Cambridge, supervised by Samuel Albanie (Google DeepMind), Kai Han (The University of Hong Kong), and Emily Shuckburgh (University of Cambridge). I am part of the Application of Artificial Intelligence for Environmental Risk (AI4ER) CDT.

My research interests include evaluating, benchmarking and understanding the behaviour and capabilities of vision-language models, large language models and large multimodal models. I am particularly interested in the application of these models to the scientific and geospatial domains as well as long-context settings.

Previously, I completed an MRes in Environmental Data Science at the University of Cambridge. Before this, I worked as a Systems Engineer in the aerospace industry. I initially completed a Master of Physics (BSc MPhys) at the University of Warwick, supervised by Don Pollacco and Marco Polin.

prof_pic.jpg

555 your office number

123 your address street

Your City, State 12345


layout: about title: about permalink: / subtitle: profile: align: right image: jonathan-roberts-square-profile.png image_circular: false # crops the image to make it circular more_info: > <p>Cambridge, UK</p>

news: false # includes a list of news items selected_papers: true # includes a list of papers marked as “selected={true}” social: true # includes social icons at the bottom of the page —

I am a PhD student based in the Machine Intelligence Laboratory at the University of Cambridge, supervised by Samuel Albanie (Google DeepMind), Kai Han (The University of Hong Kong), and Emily Shuckburgh (University of Cambridge). I am part of the Application of Artificial Intelligence for Environmental Risk (AI4ER) CDT.

My research interests include evaluating, benchmarking and understanding the behaviour and capabilities of vision-language models, large language models and large multimodal models. I am particularly interested in the application of these models to the scientific and geospatial domains as well as long-context settings.

Previously, I completed an MRes in Environmental Data Science at the University of Cambridge. Before this, I worked as a Systems Engineer in the aerospace industry. I initially completed a Master of Physics (BSc MPhys) at the University of Warwick, supervised by Don Pollacco and Marco Polin.