News

• My first-author paper, Brain Feature Maps Reveal Progressive Animal-Feature Representations, is now on bioRxiv.
• Check out my work on Behavioral Dynamics in Bipolar Disorder on medRxiv.
• Co-authored paper Arousal as a Universal Embedding now on bioRxiv.

About me

Hi! My name is Victoria Zhanqi Zhang, 张展旗. I am a Ph.D. student in Computer Science at UCSD, supported by HDSI Phd Fellowship. I am co-advised by Dr. Mikio Aoi and Dr. Gal Mishne. Previously, I studied Computer Science and Electrical Engineering at Washington University in St. Louis. I was advised by Dr. Carlos Ponce as an undergrad research student.

I am driven to apply deep learning models as theories of neural computations to answer long-standing questions in science. Are there natural learning principles in brain computation? How can we use these principles to reproduce sophisticated AI? Using tools in computer science, neuroscience, and signal processing, I attempt to construct behavior models to understand disorders in psychiatry. During my research scientist internship at Meta Reality Labs, I work on Muti-modal Representation Learning for hand recognition with neural input wristbands and glasses.

Explore my work, publications, and CV. My blog features essays and learning notes on AI, neuroscience, and more: visit here.

Grew up in Jinan, China; moved to Beijing, China during my teens; Began my undergrad in St. Louis, MO in 2016; and now live in San Diego, CA for grad school; Learn more about my journey.

I enjoy traveling, painting, hiking, and surfing. I live with happy free-flying birds: cockatiel Ashe, Pearl, and parakeet Kiwi. I DIY swings and castles for them and teach them songs and cool tricks. Check out my art portfolio.