We develop computational approaches to study the molecular basis of pathogenesis and intervention of infectious diseases.
Our research involves developing computational approaches that can leverage large-scale genomic data to gain actionable insights into infectious disease biology. Specifically, we focus on three key areas:
i) unraveling molecular mechanisms common between non-infectious and infectious diseases, to guide targeted drug repurposing, ii) identifying genomic signatures, functions, and mechanisms relevant to host-pathogen interactions, to enable understanding and guide diagnosis, and iii) developing tools and resources for seamlessly relating sequence, structure, and function of genes/proteins in poorly characterized pathogens.
Computational biology | Bioinformatics | Molecular evolution & phylogeny | Comparative pathogenomics | Molecular drug/vaccine discovery | Data analysis & visualization
I am a computational biologist at the Dept. of Pathobiology and Diagnostic Investigation, Michigan State University. I work on protein sequence-structure-function relationships, comparative genomics, and drug repurposing as they relate to infectious diseases.
I also teach data analysis and visualization and /Python programming to diverse groups in non-traditional settings. As part of this effort, I founded R-Ladies East Lansing and Women+ Data Science, through which we host our meetups & webinars!
PhD in Genetics, Bioinformatics and Computational Biology, 2011
Virginia Tech | Blacksburg, VA
BTech in Biotechnology, 2006
Anna University | Chennai, India
Data Science, Web-apps, R-pkgs, Molecular Evolution
Drug-repurposing, Computational Math
sRNA discovery, Infectious Diseases, Biochemistry
Computational Biology, Biochemistry
Computer Science, Data Science, Object Oriented Programming, Web Development, Comparative Pathogenomics
Molecular Evolution, Molecular Biology, Biochemistry
Molecular Evolution, Molecular Biology, Synthetic Biology
sRNA discovery, Infectious diseases, Human biology
Data Science, Machine Learning
Drug-repurposing, Infectious Diseases, Public Health, Nutrition
Computational Biology, Molecular Evolution, Biochemistry
Comparative Pathogenomics, Biochemistry