Our research has been generously supported over the years through the following grants:

  • 2022-2025. Collaborative Research: Algorithms for scalable inference and phylodynamic analysis of tumor haplotypes using low-coverage single cell sequencing data. National Science Foundation, USA.
  • 2022-2023. Algorithms for Genome-Scale Inference of Microbial Phylogenies. UConn Research Excellence Program.
  • 2016-2023. CAREER: Algorithms for Domain-Level Analysis of Gene Family Evolution. National Science Foundation, USA.
  • 2018-2022. Graduate Assistance in Areas of National Need (GAANN) Program in Artificial Intelligence. US Department of Education
  • 2017-2022. A Catalog of Cell Types in the Early Organogenesis Embryo – A Single Cell Lineage Map. Connecticut Innovations Regenerative Medicine Research Fund, USA.
  • 2016-2020. Understanding Horizontal Gene Transfer in Bacteria and Archaea: Units of Transfer and Modes of Integration. National Science Foundation, USA.
  • 2016-2020. Collaborative Research: Algorithmic Techniques for Inferring Transmission Networks from Noisy Sequencing Data. National Science Foundation, USA.
  • 2016-2020. Collaborative Research: Integrating the geological and genomic records: time-calibrating Earth’s dynamic biogeochemical history. National Science Foundation, USA.