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 style="display: block; text-align: right;">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 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 Environmenart oftal Risk (AI4ER) CDT.

My research focuses on evaluating, benchmarking and understanding the behaviour and capabilities of frontier models (VLMs, LLMs and LMMs). I am particularly interested in hard evals and the application of these models to the scientific and geospatial domains, as well as long-context settings. More recently, I've worked on low-latency browser automation and regularly update warpsurf.

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 style="display: block; text-align: right;">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 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 Environmenart oftal Risk (AI4ER) CDT.

My research focuses on evaluating, benchmarking and understanding the behaviour and capabilities of frontier models (VLMs, LLMs and LMMs). I am particularly interested in hard evals and the application of these models to the scientific and geospatial domains, as well as long-context settings. More recently, I've worked on low-latency browser automation and regularly update warpsurf.

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.