We develop general-purpose computational approaches that integrate large-scale heterogeneous public datasets that lead to the mechanistic understanding of microbial genotypes, phenotypes, and diseases.
Specifically, we focus on two key questions:
Along with the scientific pursuit, we release open data/software and easy-to-use web-servers for wide use by the biomedical community. We also focus on community engagement, education, and outreach.
Computational biology & Bioinformatics | Molecular evolution & phylogeny | Comparative pathogenomics | Molecular drug/vaccine discovery | Microbial pathogenesis | Infectious diseases | Data analysis & visualization
We received two Colorado Program for Musculoskeletal Research (CPMR) / Department of Biomedical Informatics (DBMI) dyad pilot grants.
See Associated news article
Our project on developing novel data science technologies to study antimicrobial resistance is officially now funded by NIH NIAID! If you are interested in bridging microbial genotypes to phenotypes, esp. in the context of AMR, come join us!
Now looking for postdocs: check out CU ad here.
Exciting times as we welcome new people to our group:
Two preprints submitted to arXiv and bioRxiv in Sep ‘20! Another manuscript under review in Scientific Reports w/ collaborator, Dr. Sreevatsan!
I am an Assistant Professor in the Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus. My research group develops computational approaches that can leverage large-scale genomic data to gain testable insights into infectious disease biology, focusing on microbial genotypes, phenotypes, and diseases. I also teach fundamentals of data analysis, visualization, and reproducible research, especially programming to diverse groups in non-traditional settings. As part of this effort, I founded R-Ladies East Lansing, R-Ladies Aurora, Women+ Data Science, and AsiaR, three organizations that promote diversity in data science through meetups & webinars. Our recent work was featured in the CU newsletter.
PhD in Genetics, Bioinformatics and Computational Biology, 2011
Virginia Tech | Blacksburg, VA
BTech in Biotechnology, 2006
Anna University | Chennai, India
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We recently developed a web application, MolEvolvR, to characterize proteins using molecular evolution and phylogeny. This session will …