I am a PhD candidate in Neuroscience at Dartmouth working with Matthijs van der Meer. I am interested in understanding how the brain and neural networks form robust and generalizable representations. Specifically, my research focus on two aspects: 1) investigating the role of hippocampal neural representations in supporting generalization, including the cross-subject similarity in the encoding of related experiences and the representational geometry underlying retrospective fear generalization, and 2) understanding the role of replay in balancing task representations and maintaining robust task performance.
Previously, I worked as a research assistant in Jeffery Erlich’s lab at NYU Shanghai, where I researched (hierarchical) reinforcement learning in rodents. Prior to that, I briefly worked as a software engineer after receiving a BA in Economics at National Tsing Hua University.