The Computational Biology Research Group develops new computational methods, efficient algorithms, and powerful software tools to help answer fundamental biological questions. We are especially interested in problems related to understanding the evolution of genes, genomes, and species. Some of our specific projects include:

  • Inferring gene family and genome evolution through gene duplication, horizontal transfer, and loss.
  • Understanding evolution at the sub-gene/domain level.
  • Reconstructing highly accurate gene trees in both eukaryotes and prokaryotes for evolutionary and functional genomic studies.
  • Inferring infectious disease transmission networks.
  • Building whole-genome and multi-locus species phylogenies.

Videos describing some of our work are publicly available on YouTube at the following URLs:
ISMB 2012 talk:
ISMB 2014 talk:
ISCBacademy Webinar 2021:

Open Positions

The computer science and engineering department at UConn is one of the best places in the world for doing research in computational biology and bioinformatics (for example, see this metrics-based ranking). The following research positions are available:

PhD positions: Positions are available in the computational biology group for bright and motivated PhD students. Please click here for further details.

Research opportunities for UConn undergraduate students: Positions are also available for qualified UConn undergraduate students who wish to gain research experience by working on exciting research problems. Please click here for further details.


April 2021: Keegan's paper on optimal completion and comparison of incomplete phylogenetic trees accepted to CPM 2021.

February 2021: Lina's paper on detection of large-scale horizontal multigene transfer events accepted to Molecular Biology and Evolution.

September 2020: Paper on TreeFix-TP, a phylogenetic error correction framework for disease transmission network inference, accepted to PSB 2021.

July 2020: Abhijit's paper on using machine learning to distinguish between additive and replacing horizontal gene transfers accepted to ACM-BCB 2020.

May 2020: Undergraduate researchers Emily Maciejewski, Taylor Wade, and Samson Weiner will all be graduating this spring. Emily will be starting her PhD in computer science at UCLA in Fall. Taylor Wade will be joining a PostBaccalaureate research program at The Jackson Laboratory. Samson will be continuing in the lab as a PhD student starting Fall. Congratulations Emily, Taylor, and Samson!

April 2020: Paper evaluating performance of gene tree rooting methods to appear in PLOS One.

April 2020: Paper on phylogenetic tree comparison and optimal tree completion appears in Algorithms for Molecular Biology.

March 2020: Undergraduate researcher Keegan Yao wins UConn SURF award to support his summer research in the lab.

March 2020: Saurav's paper on Phylogeny-Based Inference of Disease Transmission Networks accepted to ISBRA 2020.

January 2020: Misagh's paper on TreeSolve, a new method for rapid error-correction of microbial gene trees, accepted to AlCoB 2020.

December 2019: Our software for rapid error-correction of large microbial gene trees, TreeSolve, is now available.

October 2019: Our software for accurate inference of disease transmission networks based on intra-host strain diversity, TNet, is now available.

June 2019: Paper on DTRL reconciliation for distinguishing between additive and replacing horizontal transfers accepted to ACM-BCB 2019.

June 2019: Our software for computing RF(+) distances between phylogenetic trees with partially overlapping leaf sets, RF+, is now available.

May 2019: Undergraduate researcher Samuel Sledzieski will be graduating and starting his PhD in computer science at MIT. We wish Sam all the best!

April 2019: Invited talk and tutorial on genome-scale phylogenetics at Trees in the Desert Workshop.

More Spotlights


The computational biology laboratory resides within the Department of Computer Science and Engineering at the University of Connecticut and is led by Mukul Bansal.

Software Quick Links

Phylogenetic reconciliation; Gene family evolution

Protein domain and subgene level evolution

Phylogenetic simulation of gene and subgene evolution

Horizontal gene transfer inference

Phylogenomics; Whole-genome species tree construction

Gene tree reconstruction and error-correction

Viral transmission network inference

Tree comparison; Optimal tree completion

Supertree construction


Mukul Bansal
371 Fairfield Way, ITEB 359
Storrs, CT 06269