About Me

I am a computer scientist (PhD) who implements sophisticated computational approaches to understand the genome biology (DNA) of microbes. I am a Computational Biologist with over 5 years of experience in working in teams of diverse backgrounds to develop bioinformatic pipelines and automated workflows in both academic and government (USFDA) settings. I am highly interested in finding computational solutions to complex biological problems, and useful biological insights from complicated biological datasets.


- I develop algorithms and methods for analyzing large genomic and metagenomic datasets.
- I work with computational biologists, bioinformaticians, and microbiologists on various infectious disease-causing pathogenic microbes to understand and analyze their genomes, pathogen detection, and genotype-phenotype correlations including genomic factors contributing to antimicrobial resistance (AMR).
- I am eager to learn challenging problems in modern biology and apply my computational expertise for finding solutions.

- 8+ years of programming experience. Strong background in algorithms. Develop bioinformatics software compatible with high-performance computing (HPC) or cloud environments. Substantial experience in working with massively parallel high-throughput NGS sequencing genomic data (short-read (Illumina), long-read (Pacific Biosciences, Oxford Nanopore), hybrid); familiar with a variety of sequencing platforms (short-read SBS, linked-read, long-read, optical mapping, Hi-C, HiFi, etc).