I am a Ph.D. candidate working at the intersection of Artificial Intelligence and Computational Neuroscience at McGill University and Mila - Quebec AI Institute
My research focuses on developing brain encoding-decoding models of working memory in multi-task settings and unraveling the representation principles that govern compositional generalization in both biological and artificial agents.
Broadly, I am interested in developing tools in understanding the computational mechanisms underlying cognitive flexibility, decision-making, and memory, which are fundamental to intelligent systems. As a valuable testbed, scaled models provide an opportunity for exploration, and I actively work on integrating neuroscience insights to advance their mechanistic interpretation.I am always open to discussions and collaborations—feel free to reach out!
I keep following the latest advancements in Brain-Computer Interface (BCI) hardware, exploring how technological progress can push the boundaries of cognitive augmentation and, ultimately, the feasibility of “uploading the brain.” 🧠 🚀
Ph.D. in Neural-AI McGill University & Mila - Quebec AI Institute, Canada
Supervised by Pouya Bashivan and Pierre Bellec 2021 – Present
Dual-Degree Research Master's in Computational Neuroscience & Artificial Intelligence
Radboud University Nijmegen & Donders Institute for Brain, Cognition, and Behavior, the Netherlands
Supervised by Marcel van Gerven and Paul Tiesinga 2018 – 2020
B.Sc. in Mathematics and Applied Mathematics Minor in Computer Science
University of Chinese Academy of Sciences, China
Founding undergraduate class 2014 – 2018
For full details, see my CV.
