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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Feb 2019
One paper accepted at IPMI 2019, see you in Hong Kong! -
Feb 2019
One paper accepted at NeuroImage. -
July 2018
One paper accepted at 2018 Conference on Cognitive Computational Neuroscience (CCN2018), see you in Phily. -
May 2018
One paper accepted at Nature Communications. -
Apr 2018
One paper accepted at MICCAI 2018, see you in Granada! -
Dec 2017
One paper accepted at IEEE ISBI 2018. -
Oct 2017
I presented our paper RCLens: Interactive Rare Category Exploration and Identification at IEEE VIS 2017.