Vince Lyzinski





2306 William E. Kirwan Hall
4176 Campus Dr
College Park, MD 20742

email: vlyzinsk (at sign) umd (dot) edu
[arXiv ID]
[Google Scholar]

Associate Professor, Statistics Program, Department of Mathematics
University of Maryland, College Park


Additional affiliations
Applied Mathematics, Statistics, and Scientific Computation (AMSC) program


Research interests

  • Statistical network inference
  • Graph matching (theory and algorithms)
  • Statistical machine learning
  • Markov chains
  • Probability
  • Combinatorics

  • My c.v. can be found here.
    My dissertation can be found here.


    Education

  • Ph.D. in Applied Mathematics and Statistics, Johns Hopkins University, 2013
    Advisor: Prof. James Allen Fill
    Dissertation title: Intertwinings, Interlacing Eigenvalues, and Strong Stationary Duality for Diffusions
  • M.S.E. in Applied Mathematics and Statistics, Johns Hopkins University, 2011
  • M.A. in Mathematics, Johns Hopkins University, 2007
  • B.S. in Mathematics, University of Notre Dame 2006
    Budapest Semesters in Mathematics, Spring 2005





  • My refereed journal publications can be (roughly) split into five main areas
  • Graph matching/network de-anonymization
  • Vertex nomination/IR on networks
  • Statistical network inference (clustering, testing, classification, etc.)
  • Markov chains/processes
  • Misc.

  • For refereed conference/workshop publications, click here

    Graph matching/network de-anonymization

    Vertex nomination/IR on networks

    Statistical network inference (clustering, testing, classification, etc.)

    Markov chains/processes

    Misc.

    Refereed conference/workshop publications









    R code packages implementing our work can be downloaded from github at the following links. HTML web pages with downloadable code and worked examples can be found at the following links.




    Fall 2021

    Past Semesters (at UMD)

    Spring 2021: STAT650
    Winter 2020-2021: DATA607
    Fall 2020: STAT705
    Spring 2020: STAT426, STAT689
    Fall 2019: STAT426