Bryan M. Li

In the intersection of machine learning and computational neuroscience, my research interests lie in the emerging field of NeuroAI. I am an Encode AI for Science Fellow at Imperial College London working on AI for NeuroMotor Interfacing. I completed my PhD studies at the University of Edinburgh, supervised by Dr. Arno Onken and Professor Nathalie Rochefort, where my research focused on building foundation models of the visual cortex that can accurately encode visual responses to dynamic and naturalistic stimuli. The combination of “digital twins” and closed-loop experiments provides a new paradigm to probe the neural code in visual information processing.

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!