Assistant Professor and Senior Associate Consultant (April 2017–present)
Department of Surgery, Mayo Clinic
Division of Rheumatology, Department of Internal Medicine, Mayo Clinic
Microbiome Program, Center for Individualized Medicine, Mayo Clinic
Molecular Pharmacology & Experimental Medicine, Mayo Clinic Graduate School of Biomedical Science
• Post-doc, Massachusetts General Hospital and Harvard Medical School (Boston, MA), Broad Institute (Cambridge, MA) (advisor: Ramnik Xavier, MD)
• Post-doc, Asia Pacific Center for Theoretical Physics (Pohang, South Korea), POSTECH (Pohang, South Korea) (advisor: Pan-Jun Kim, PhD)
• Ph.D. in Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign (Urbana, IL) (advisor: Nathan Price, PhD)
M.S. in Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign (Urbana, IL) (advisor: Michael Strano, PhD)
• B.S. in Chemical Engineering, Georgia Tech (Atlanta, GA)
Postdoctoral Research Fellow (Oct. 2017–present)
PhD in Bioinformatics, CSIR-Indian Institute of Chemical Biology, Kolkata, India (2017)
• Research Interests: Human Microbiome, Metagenomics, Bioinformatics
• Vinod's doctoral research focused on delineating taxonomic and functional divergences of microbiome components across different human body-site niches.
Undergraduate Research Assistant (Dec. 2017–present)
BS candidate in Computer Science, University of Minnesota-Twin Cities
BA in Economics and Financial Management, University of Minnesota-Morris (2015)
• Research Interests: Machine-Learning, Regression Analysis, Predictive Modeling
• Kevin's research background is in statistics and regression analysis applied to financial investments and macroeconomic growth. His focus in the lab will be in applying machine-learning methods for 'omics data analysis and biomarker discovery.
Postdoctoral Research Fellow (April 2018–present)
PhD in Biological Engineering, Seoul National University, Seoul, South Korea (2017)
• Research Interests: Gut Microbiome, Metabolic Modeling, Multi-omics Data Integration
• Minsuk's doctoral research focused on the computational analysis and design of stationary phase metabolism for microbial production of antibiotics and oleochemicals.
Postdoctoral Research Fellow (Aug. 2018–present)
PhD in Bioinformatics, CSIR-Indian Institute of Chemical Biology, Kolkata, India (2018)
• Research Interests: Human Microbiome, Microbial Evolution, Bioinformatics
• Utpal's doctoral research focused on understanding the complex relationships of the symbiotic and pathogenic species of Enterococci in human gut microbiota through comparative genomics and bioinformatics analyses.
Principal Research Technologist (Feb. 2019–present)
PhD in Cancer Genetics & Genomics, Medical Science, Kyungpook National University, Daegu, South Korea
• Research Interests: Single-cell Biology, Genomics technologies, Bioinformatics
• Jin Sung’s research background is in applying cutting-edge genomics tools and molecular biology methods to identify genetic changes for cancer diagnosis, treatment stratification, and phenotype prediction. His role in the lab is to take on projects involving: i) computational analysis of single-cell PBMC data (RNA-seq, mass cytof) from patients with auto-immune disease; and ii) aptamer-based technology development for detection of blood-borne microbial products.
Rotation student, PhD candidate, Mayo Clinic Graduate School of Biomedical Sciences (Sept.–Nov. 2019)
M.S. in Biotechnology, Northwestern University (2019)
B.S. in Biomedical Engineering, Rose-Hulman Institute of Technology (2016)
• Research Interests: Individualized medicine, Pharmacogenomics, Bioinformatics
• Kevin is interested in using bioinformatics and computational tools to address the emerging problems in pharmacogenomics and individualized medicine.
Postdoctoral Research Fellow (joining Dec. 2019)
PhD in Bioinformatics, Seoul National University, Seoul, South Korea (2019)
• Research Interests: Bioinformatics (Network Analysis, Gene Prioritization, Multi-omics analysis), Online/Offline Tool Development
• Benjamin's doctoral research focused on creating network-based informatics systems to prioritize genes from experiments in mouse models. This led to the development of integrative informatics approaches to find the biological roles of those target genes.