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

Teaching

I am currently on parental leave and not teaching for the Spring 2023.

I’m also participating the Designing Antiracism Curricula Fellowship Program which is accepting applications for next year’s fellowship through March 24.

MA 415/615 Fall 2023
Data Science with R: See here to join the waiting list.
Aug 20, 2023
See all

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

PhD Dissertation Advising

While I’m currently not taking on new students, here are my current and past students.

Recent Publications

Christy Lin, Daniel L. Sussman, Prakash Ishwar (2023). Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings. IEEE Transactions on Network Science and Engineering.

Arxiv DOI

Wenrui Li, Daniel L. Sussman, Eric D. Kolaczyk (2023). Estimation of the Branching Factor in Noisy Networks. IEEE Transactions on Network Science and Engineering.

Arxiv DOI

Konstantinos Pantazis, Daniel L Sussman, Youngser Park, Zhirui Li, Carey E Priebe, Vince Lyzinski (2022). Multiplex graph matching matched filters. Applied Network Science.

Arxiv DOI

Qian Wang, Daniel Sussman (2022). Shuffled total least squares. arxiv.

Arxiv

Kelly Kung, Daniel L Sussman (2022). Unbiased estimation for additive exposure models. arxiv.

Arxiv

See all publications

Experience

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

Contact