Trupti Joshi, MBBS, ADB, MS, PhD

Assistant Professor, Department of Health Management and Informatics
NextGen Biomedical Informatics Translational Bioinformatics Faculty Lead
Core Faculty MU Data Science and Informatics Institute, Interdisciplinary Plant Group, Life Science Center, Computer Science and Plant Sciences
University of Missouri

ADr. Trupti Joshi is an Assistant Professor in the Department of Health Management and Informatics (HMI). She also has Core Faculty appointments with MU Data Science and Informatics Institute (MUIDSI), Interdisciplinary Plant Group (IPG), Christopher S. Bond Life Science Center (LSC), Department of Electrical Engineering and Computer Science (EECS) and Department of Plant Sciences (DPS). As the NextGen Biomedical Informatics Translational Bioinformatics Faculty Lead, Dr. Joshi coordinates the translational bioinformatics research and development activities through collaborations with clinicians and research faculty, for advancing informatics innovations and applications for precision medicine. Dr. Joshi has a rigorous interdisciplinary training with degrees in Clinical Medicine and Bioinformatics and has over 19+ years of experience working in academia, collaborations with multi-disciplinary researchers and several Industry partners. She has published more than 150 scientific papers and co-developed several bioinformatics software systems, methods, and tools. Her current research focuses primarily on (i) building knowledge base frameworks such as SoyKB and KBCommons for genomics and multiomics data integration in agricultural and biomedical domains, (ii) development of computational methodologies and data analysis pipelines using HPC and cloud based resources, (iii) multiomics data integration methods and tool development, (iv) machine learning and deep learning methods such as G2PDeep for biomarker identification, (v) IMPRes algorithm for in silico hypothesis generation, and (vi) application of translational bioinformatics techniques for advances in precision medicine, precision agriculture, and genomic epidemiology including Covid.