Siyuan Gao is a 3rd year Ph.D. student at Yale University.
Siyuan's research interests are in applied machine learning, manifold learning, network science and neuroimage. During his undergraduate, he also did research in data visualization. He is very fortunate to work with Professor Dustin Scheinost and Professor Gal Mishne and Professor Todd Constable. Currently he is trying to understand human brain's dynamic property under designed tasks or natural stimuli using machine learning and signal processing technique.
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Education
Undergraduate
B.Sc., Math and Applied Math
2012 - 2016, Zhejiang University, China
Graduate(Current)
Ph.D., Engineering and Applied Science
2016 - , Yale University, U.S.A
News
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July 2019
One paper accepted at Connectomics in NeuroImaging (CNI) workshop. -
July 2019
One paper accepted at NeuroImage. -
June 2019
One paper accepted at MICCAI 2019, see you in Shen Zhen! -
May 2019
Started my internship at LinkedIn. -
Feb 2019
One paper accepted at IPMI 2019, see you in Hong Kong!