Stephanie Fu
phd student | EECS @ UC Berkeley
I am a PhD student at BAIR advised by Trevor Darrell.
Previously, I graduated from MIT with an MEng in computer science (advised by Phillip Isola) and bachelors degrees in computer science and music. During my undergrad, I was fortunate to work on exciting research under Bill Freeman, Yoel Fink, and Phillip Isola.
I am broadly interested in the science behind deep learning and representation learning, especially in the realm of computer vision. Most recently, I have been interested in developing and understanding models with visual intelligence.
In 2019, I co-founded TEDxMIT and helped launch the inaugural conference at MIT CSAIL. Since then, TEDxMIT has brought communities across the Greater Boston area together with three more conferences and adapted to the COVID-19 pandemic by holding a virtual event. Check out the highlight reels from past events and details about the upcoming conference here!
news
Jun 2023 | We just released DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data! |
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Jun 2023 | I will be attending UC Berkeley for my PhD in Computer Science, supported by the NSF GRFP and Chancellor’s Fellowship! |
May 2023 | I was offered Stanford’s Knight-Hennessy Scholarship! |