Speaker
Industry Professional
Illumina
Tuscaloosa County, Alabama, United States
Biological, Life Science and Biomedical Sciences, Computer scientist with over 5 years of research experience in the field of computational biology and bioinformatics. Extensively used genomics for infectious diseases, pathogen detection and antimicrobial resistance in public health and foodborne disease
5-10 Years of Experience
Doctoral or professional degree, University of Maryland, College Park, Department of Computer Science
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).
Large-scale Whole-Genome Assessment Reveals Potentially Novel Factors Influencing Carbapenem Resistance In Clinical Acinetobacter baumannii Isolates
06/2022
Washington DC, United States
https://www.abstractsonline.com/pp8/#!/10522/presentation/1189
English, Marathi, Hindi
Documents (PDF)
UMD JIFSAN (Joint Institute for Food Safety and Applied Nutrition)
ResearcherProgrammerScientific communicationPresentationScientific writingTeamworkCollaboration
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