I recently graduated from MIT with double majors in Computer Science (AI + Decision Making) and Mathematics, with a concentration in Economics. In pursuit of my passion for cognitive computational neuroscience, I just started my PhD study in Neuroscience at Princeton Neuroscience Institute in September 2024, on a Centennial Fellowship. I spent the past summer at the Theory & Modeling group within the Allen Institute to pursue research in mathematical neuroscience under the supervision of Prof. Stefan Mihalas, where I currently hold a visiting scientist position.
During my undergrad study, I conducted my research as an MIT CBMM UROP with Prof. Tomaso Poggio (collab w/ Prof. Earl Miller), and Prof. Ila Fiete (collab w/ Princeton BRAIN CoGS, including Prof. David Tank & Prof. Carlos Brody). I am continuing the collaborative ties now as a research affiliate. Previously, I conducted ML research in Madry Lab at MIT CSAIL as a SuperUROP, and did R&D work at Meta, Microsoft AI, and IBM Research as an intern.
Personally, I have been fortunate to benefit from learning opportunities and mentorships. Equity in education in my community and society at large is important to me. During my undergrad study, aside from leadership activities, I served on advisory boards/cabinet to provide insights to MIT President Sally Kornbluth, Dean Anantha Chandrakasan (School of Engineering), and MIT EECS leaderships in driving this goal.
I am happy to connect and engage in discussions related to my interests and beyond. Feel free to reach me at evayixie@princeton.edu for any inquiry.
A complete CV is available upon request.
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