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.
  • Building whole-genome and multi-locus species phylogenies.

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


January 2019: Paper describing SaGePhy accepted to Bioinformatics.

October 2018: Our software for improved phylogenetic simulation of gene and subgene/domain level evolution, SaGePhy, is now available.

September 2018: Lei's paper on an exact integer linear programming solution for Domain-Gene-Species reconciliation wins best student paper award at ACM-BCB 2018.

August 2018: Three new PhD students Abhijit Mondal, Saurav Dhar, and Sumaira Zaman join the research group.

August 2018: Soumya Kundu successfully defended his MS thesis and graduated. Soumya will start his PhD studies in computer science at Stanford in Fall and we wish him all the best!

July 2018: Paper on computing RF(+) distances and optimal phylogenetic tree completions accepted to RECOMB-CG 2018.

June 2018: Lei's paper on an exact integer linear programming solution for Domain-Gene-Species reconciliation accepted to ACM-BCB 2018.

May 2018: Paper describing the new RecPhyoXML format for reconciled gene trees accepted to Bioinformatics.

April 2018: Paper describing RANGER-DTL 2.0 accepted to Bioinformatics.

More Spotlights


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


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