Bryan M. Li

NeuroAI Researcher
Encode Fellow at Imperial College London

I am an Encode Fellow at Imperial College London, under the supervision of Professor Dario Farina, working on AI for NeuroMotor Interfacing. Before the Encode Fellowship, I completed my PhD studies at the University of Edinburgh in AI and system neuroscience, supervised by Dr. Arno Onken and Professor Nathalie Rochefort. In the intersection of machine learning and computational neuroscience, my research interest lies in the emerging field of NeuroAI. Specifically, my PhD research focused on building “digital twins” of the visual cortex that can accurately predict visual responses to dynamic and natural stimuli. On top of my main research focus, I am also interested in machine learning for health, which I believe is an integral part of AI for good. Being part of the Biomedical AI CDT program, I have the opportunity to collaborate with doctors and medical practitioners to work on problems in medical imaging and precision psychiatry.
I spent 3 wonderful months interning at Microsoft Research in Redmond, Washington, between August and November 2024. Before that, I was very fortunate to have been selected for the Enrichment Scheme 2023-2024 at the Alan Turing Institute, and I spent 6 months working at their British Library office. In Summer 2023, I worked at the Statistics & Decision Sciences team at Janssen R&D, Johnson & Johnson, as a research intern. Prior to my graduate studies, I was a Research Engineer at Huawei Noah's Ark Lab in Toronto, where I was part of the computer-vision and human-computer interaction team. I received my undergraduate degree in Computer Science from the University of Toronto in 2018, where I spent a wonderful year at AMD as a Software Engineer.

Please feel free to contact me if you'd like to chat!


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