Daniel Sussman

Daniel Sussman

Assistant Professor of Mathematics and Statistics

Boston University

Biography

Dan Sussman is an Assistant Professor in the Department of Mathematics and Statistics at Boston University. He started this role in July 2016.

Download my curriculum vitae.

Interests
  • Statistics for Network Data
  • Node Embeddings
  • Graph Matching
  • Causal Inference under Interference
  • Brain Networks, Molecular Networks, Social Networks, Knowledge Graphs
Education
  • PhD in Applied Math and Statistics, 2014

    Johns Hopkins University

  • BA in Mathematics, 2008

    Cornell University

Advising

Schedule a 15 minute advising meeting

Undergraduate

I advise upper-level majors and minors with a focus in Statistics.

Please contact via email or set up a quick meeting using the link above.

Graduate

As the Associate Director for the Program in Statistics, I serve as the advisor for our Master of Arts in Statistics students and for our Ph.D. students who have not yet found a thesis advisor.

Please contact via email or set up a quick meeting using the link above.

Recent Publications

(2021). Maximum likelihood estimation and graph matching in errorfully observed networks. Journal of computational and graphical statistics.

Link

(2020). Bias-variance tradeoffs in joint spectral embeddings. arXiv preprint arXiv.

Link

(2020). Estimation of the Epidemic Branching Factor in Noisy Contact Networks. arxiv.

Link

(2020). Matchability of heterogeneous networks pairs. Information and inference.

Link

(2019). Graph Matching via Multi-Scale Heat Diffusion. 2019 IEEE International Conference on Big.

Link

Experience

 
 
 
 
 
Associate Director for the Program in Statistics
Jul 2021 – Present Boston, MA
 
 
 
 
 
Assistant Professor of Mathematics and Statistics
Jul 2016 – Present Boston, MA
 
 
 
 
 
Postdoctoral Fellow
Jul 2014 – Jun 2016 Cambridge, MA

Contact