Dr. Pandey obtained his medical degree from Armed Forces Medical College, Pune and completed his residency in Pathology at the Brigham and Women’s Hospital, Harvard Medical School, Boston, U.S.A. He obtained his Ph.D. from the University of Michigan, Ann Arbor, U.S.A. in Molecular Biology. He was a Postdoctoral Fellow in the laboratory of Dr. Harvey Lodish at the Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, U.S.A., where he used computational and molecular biology tools to clone and characterize a novel cytokine receptor. Later, as a Visiting Scientist in the group of Prof. Matthias Mann at the University of Southern Denmark, he developed the SILAC method for quantitative proteomics. He served as a professor for 16 years at the McKusick-Nathans Institute of Genetic Medicine and the Departments of Biological Chemistry, Oncology and Pathology at the Johns Hopkins University School of Medicine, during which he led numerous projects on development and application of mass spectrometry-based quantitative proteomics, analysis of post-translational modifications, protein-protein interactions and proteogenomics. He is a recipient of numerous prestigious awards including the Discovery in Proteomic Sciences Award by the Human Proteome Organization (HUPO). He was also a recipient of the prestigious Margdarshi Fellow by the Wellcome Trust/DBT India Alliance under which he established a Center for Molecular Medicine at NIMHANS in Bangalore, India. He serves as an Editorial Board member of Molecular and Cellular Proteomics, Proteomics and Journal of Clinical Investigation and as an Associate Editor of Clinical Proteomics. He is currently a Professor in the Department of Laboratory Medicine and Pathology and the Center for Individualized Medicine at Mayo Clinic in Rochester, Minnesota where he oversees a Systems Biology and Translational Medicine laboratory. His research interests are in the development of novel assays for clinical diagnostics and in using systems biology approaches to study a variety of human diseases ranging from cancer and infectious diseases to inherited genetic disorders.

Research laboratories

Systems Biology and Translational Medicine lab, Mayo Clinic, Rochester, Minnesota, USA

Dr. Pandey’s research group at Mayo Clinic focuses on the research and development of the novel diagnostic assays that could be translated into clinical manifestation. By employing cutting-edge multiOmics technologies, we study a variety of human diseases ranging from cancer and infectious diseases to inherited genetic disorders. We have also been leading efforts to identify biomarkers and develop assays for several of congenital disorders of glycosylation (CDGs), the rare inborn disorders of defective glycosylation, using mass spectrometry-based methods including proteomics, glycoproteomics and glycomic analysis. We have also been establishing the cutting-edge single-cell proteomics methods to profile for protein-level molecular changes at single-cell resolution in various diseases.

Advanced Diagnostics Laboratory, Mayo Clinic, Rochester, Minnesota, USA

Dr. Pandey leads the mass spectrometry laboratory within the Advanced Diagnostics Laboratory (ADL), a collaboration between Mayo Clinic’s Department of Laboratory Medicine and Pathology and the Center for Individualized Medicine. Our mission is to identify and invest in disruptive technologies using emerging new mass spectrometry technologies and develop proteomics and lipidomics assays that can be transferred to clinical labs for screening and/or diagnostic applications.

Research Institute

Institute of Bioinformatics, Bangalore, India

Institute of Bioinformatics (IOB) is a nonprofit-based organization located in Bangalore, India. It was established in May 2002 setting the goal of creating a freely available Human Protein Reference Database using open-source technologies and to experimentally verify predicted human genes using molecular biology and proteomics-based methods. The research at IOB has gradually expanded honing the development in computational aspects and database generation in different Omics such as proteomics, genomics, metabolomics and lipidomics.