Welcome to the Leiserson Research Group at the University of Maryland!

We are a research group in the Department of Computer Science and Center for Bioinformatics and Computational Biology at the University of Maryland. Our research is focused on designing algorithms to make advances in public health, particularly related to cancer.

Current topics of interest include cancer genomics, cancer immunotherapy, and network biology.

Somatic mutations

What are the causes and consequences of somatic mutations in cancer?

Network biology

What are the shared patterns in biological networks from different species?


What factors gathered from patients before treatment are predictive of response?

Recent news
  • Mar 8, 2019
    The MUlti-Species Network Kernel (MUNK) algorithm for diverse cross-species inference is published in Nucleic Acids Research!
  • Jan 28, 2019
    An article on our recent PLoS ONE paper appeared in the U. Maryland Today.
  • Dec 31, 2018
    Our collaboration with Microsoft Research on predicting response to immunotherapy in bladder cancers is out in PLoS ONE!
  • Dec 1, 2018
    Max is PC co-chair for RECOMB Computational Cancer Biology (CCB) in Washington, DC on May 3-4, 2019.
  • Nov 10, 2018
    Cindy, Jason, and Max lead a team as part of the Tech+Research workshop at Technica, the largest all-female hackathon.
  • Sep 08, 2018
    The Hierarchical HotNet algorithm for identifying significantly altered subnetworks is published in ECCB/Bioinformatics!
  • Dec 21, 2017
    Our work on cross-species network embeddings has been accepted to RECOMB 2018!
  • Nov 27, 2017
    Max gives a talk at a CMO-BIRS workshop in Oaxaca, Mexico
  • Sep 07, 2017
    Jason Fan joins the group -- welcome Jason!
  • Aug 01, 2017
    Founding of the Leiserson Research Group at the University of Maryland!