

AMOL CARL SHETTY, PhD
I have a diverse work experience in the fields of human genomics, bioinformatics and data science. I started my career as a Bioinformatics Analyst / Developer at Emory University in 2008, where I gained experience in next-generation sequencing (NGS) and its applications in several neurodevelopment disorders namely schizophrenia, autism, and fragile X syndrome. My interest in computational biology led me to University of Maryland (UMB) in 2010 to work at the Institute for Genome Sciences (IGS), where I developed analytical methods, and high-throughput, modular, and scalable automated pipelines for transcriptomics and epigenomics. Over 18 years, as a Sr. Principal Bioinformatics Scientist at UMB, I have contributed to many oncology, organ transplant, immunology, substance abuse, clinical research, and infectious disease projects. I completed my formal education with a Doctor of Philosophy (PhD) degree in Human Genetics and Epidemiology at UMB, in 2019, while working as a full-time Bioinformatics Engineer @IGS. Prior to that, I obtained a Master's Degree in Bioinformatics from Georgia Institute of Technology (Georgia Tech), in 2007, and a Bachelor’s Degree in Biomedical Engineering from Mumbai University, in 2006. Additionally, I have obtained certifications in Management of Technology from Scheller College of Business @Georgia Tech, Statistical Methods for Functional Genomics from Cold Spring Harbor Laboratory (CSHL), AWS Machine Engineering Nanodegree from Udacity, and Emerging Leader Program @UMB. Over the past 18 years, my expertise has contributed to 250+ projects, 120+ seminal publications, 50+ scientific conferences, and several consortiums such as the NCI-funded Radiation Oncology-Biology Integration Network (ROBIN), the International Liver Transplantation Society (ILTS), the NHLBI-funded Trans-Omics for Precision Medicine (TOPMed) Program, the 3q29 Foundation, the Cure Huntington's Disease Initiative (CHDI), the NIAID-funded Genomics Based Investigation of the Determinants of Polymicrobial Infectious Disease Outcomes (GCID) Program, and the NIH-funded Neuroscience Multi-Omic (NeMO) Data Analysis Initiative. I also serve as an Associate Editor for the Computational Science Editorial Panel @Transplantation Journals, and as a scientific reviewer for 10+ scientific journals.
EXPERTISE
Bioinformatics
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Whole genome sequencing analysis
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Genetic variant analysis
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Bulk/Single-cell/Spatial Transcriptomics
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Epigenomics
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Proteomics
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Metabolomics
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Pipeline and software development
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ML/AI
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Biomarker discovery
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Systems biology
Biostatistics
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Data mining and analytics
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Statistical models
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Clustering algorithms
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Association analysis (GWAS)
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Network analysis
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Functional enrichment
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Graphical visualization
Population Genomics
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Epidemiology
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Personalized genomics
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Population structure
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Admixture analysis
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Genetic diversity
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Population migration
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Selection
MY LATEST RESEARCH

Kidney Int. 2023 Feb 28;103(6):1077–1092.

Transcriptomic and clinical heterogeneity of metastatic disease timing within metastatic castration-sensitive prostate cancer.
Ann Oncol. 2023 May 8;34(7):605–614.
