DIRECTORS

Haewon Jeong

Assistant Professor @ UCSB ECE

My research aims to develop theoretically-grounded tools for trustworthy and reliable machine learning systems by drawing ideas from different fields (e.g., Information Theory, Statistics, Machine Learning, Distributed Systems).

I was a postdoctoral researcher at Harvard SEAS. I completed my Ph.D. and M.Eng. in Electrical and Computer Engineering at Carnegie Mellon University. I received B.S. in Electrical Engineering and Computer Science at KAIST.

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AI for Physics, Generative AI

Nina Miolane

Assistant Professor @ UCSB ECE
Co-Director of AI @ Bowers Women’s Brain Health Initiative

My research aims to reveal the geometric signatures of natural and artificial intelligence, by using tools from geometry, topology, computer vision, machine learning and deep learning.

I was a postdoctoral researcher at Stanford, in the Statistics department. I received my M.S. in Mathematics from Ecole Polytechnique and Imperial College, and my Ph.D. in Computer Science from INRIA in collaboration with Stanford. I used to work as a deep learning software engineer in start-ups of the Silicon Valley.

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AI for Neuroscience, Geometric AI

Yao Qin

Assistant Professor @ UCSB ECE
Senior Research Scientist @ Google

My research aims to develop robust AI systems and to advance AI for healthcare, specifically for diabetes.

I obtained my Ph.D. degree at UC San Diego in Computer Science. During my Ph.D., I was very fortunate to intern under the supervision of Geoffrey Hinton, Ian Goodfellow and many others.

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