Siyuan Gao is a 3rd year Ph.D. student at Yale University.

Siyuan's research interests are in neuroimage analysis, spectral graph theory, and machine learning. During his undergraduate, he also did research in data visualization. His advisor is Professor Todd Constable. He is also very fortunate to work with Professor Dustin Scheinost and Professor Gal Mishne. Currently he is trying to understand human brain's dynamic property under designed tasks or natural stimuli using signal processing and machine learning technique.



B.Sc., Math and Applied Math
2012 - 2016, Zhejiang University, China


Ph.D., Biomedical Engineering
2016 - , Yale University, U.S.A


  • 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.

Address: The Anlyan Center
300 Cedar Street
New Haven, CT