Siyuan Gao is a Ph.D. student in Department of Biomedical Engineering at Yale University.

Siyuan's research interests are in brain network analysis, spectral graph theory, high dimensional statistics 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. His current research focuses on multivariate statistical analysis for functional brain connectivity.



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


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


  • 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.
  • May 2017 - current

    Officially joining Professor Todd Constable's lab. My research will focus on quantitative brain network analysis.
  • Febrary 2017 - May 2017

    I am doing my second rotation research with Professor Todd Constable on using fmri and human connectome to predict human traits like fluid intelligence.
  • September 2016 - December 2016

    I did my rotation research with Professor Steven Zucker on computational neuroscience. Specifically, I implemented a modified BCM learning rule to fit Spike-timing-dependent-plasticity(STDP) data. I wrote this summary essay in Chinese which covers some of my research.
  • August 2016 - current

    I start to work in Department of Biomedical Engineering at Yale University as a Ph.D. student. My research focuses on machine learning and computational neuroscience. In the first year I will do lab rotations to further determine my supervisor.
  • Jan 2016 - April 2016

    I worked as a research intern in New York University, Shanghai, supervised by Professor Nan Cao, focusing on rare category detection algorithm's design.

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