Research Biography
Dr. Trupti Joshi is the Senior Associate Dean for Informatics and Population Analytics and Professor in the Department of Biomedical Sciences at Joan C Edwards School of Medicine at Marshall University. She also holds an Adjunct faculty appointment in Department of Biomedical Informatics, Biostatistics and Medical Epidemiology (BBME) and Department of Electrical Engineering and Computer Science (EECS) at University of Missouri-Columbia (UM). She is the Principal Investigator of the WV-INBRE NIGMS / NIH Award P20GM103434, whose mission as part of the NIH Institutional Development Award (IDeA) Program is to establish a consortium among selected institutions of higher education in the State of West Virginia to enhance their capacity for educating and training their faculty and students in biomedical research.
Previously, she has served as Director of Translation Bioinformatics with School of Medicine, Faculty Lead for Translational Bioinformatics for the NextGen BioMedical Informatics (NextGen BMI) and has been a tenured core faculty with Department of Plant Sciences and Technology (DPST), MU Data Science and Informatics Institute (MUIDSI), Interdisciplinary Plant Group (IPG), and Christopher S. Bond Life Science Center (LSC) at University of Missouri-Columbia (UM).
She is a renowned expert in the translational bioinformatics field and has over 22+ years of experience working in academia, collaborations with multi-disciplinary researchers and several Industry partners. She has published more than 175 scientific papers in peer reviewed and indexed journals as well as has developed several bioinformatics software systems, computational methods and AI based solutions for translational research. Dr. Joshi have trained and/or mentored more than 44 undergraduate students (including summer research students, and interns), 75 graduate students, 2 Research Specialists, 10 Postdoctoral fellows, and 3 Research Scientists.
Her expertise is in the areas of bioinformatics and its application to biomedical sciences, plants sciences, animal sciences, and health informatics fields. At the Joshi Translational Bioinformatics and AI Innovations Lab (TBAiL), the current research focuses primarily on (i) building knowledge base frameworks such as KBCommons and SoyKB, for genomics and multiomics data integration in biomedical and agricultural domains, (ii) development of computational methodologies and multiomics data analysis pipelines using HPC and cloud based resources, (iii) multiomics data integration methods, (iv) deep learning and machine learning methods for biomarker identification, (v) IMPRes algorithm for in silico hypothesis generation using multiomics data, (vi) designing AI based methods and solutions for single-cell transctiptomics cell type annotations and phenotype prediction and (vii) application of translational bioinformatics techniques towards advances in precision medicine, precision agriculture, and genomic epidemiology including Covid.
The approaches applied in my laboratory include molecular, cellular, and integrative methodologies. These methods include west blot, real-time PCR, mass spectrum, microRNA sequencing, nanosight tracking analysis (NTA), flow cytometry, etc. Animal surgery methods (MCAO, telemetric probe, osmotic minipump, microinjection) are also used in my research. The animal models used in my research include a spontaneous hemorrhagic stroke model induced in the rennin/angiotensinogen double transgenic (R+A+) hypertensive mice, collagenase-induced focal hemorrhagic stroke model, middle cerebral artery occlusion (MCAO)-induced ischemic stroke, the db/db and STZ-induced diabetic mouse models. Additionally, I use clinical samples from translational studies of diabetes and stroke patients through collaboration with clinicians.
