Dinesh Gupta

Dr. Dinesh Gupta leads the Translational Bioinformatics Group at the International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi. He earned his M.Sc. and Ph.D. from the All India Institute of Medical Sciences, New Delhi. Dr. Gupta was awarded a WHO Capacity Building Grant to establish a regional research and training center at ICGEB for bioinformatics research and training for South-East Asian researchers focusing on tropical diseases. He also received a WHO capacity-building award, allowing him to visit the University of Pennsylvania and the Wellcome Trust Sanger Centre as a research fellow, contributing significantly to the Plasmodium genome consortium resource site, PlasmoDB.org. His team actively uses computer aided drug designing and cheminformatics for designing novel anti-malarials, targeting different parasite proteins expressed in the blood stages of the parasite development in human hosts. He collaborates with Malaria researchers for validation of computational designs and many of the designed molecules are in different stages of development for optimisation and testing.

His team also develops AI-driven and integrative computational tools for analyzing complex biological and biomedical data, with a primary focus on genomics, transcriptomics, proteomics, and medical imaging datasets. His research interests extend to next-generation sequencing (NGS) data analysis, biological database creation, and algorithm design for translational bioinformatics. He has more than 150 publications and 2 patents to his credit. The tools and databases developed by his research groups are publicly available at http://bioinfo.icgeb.res.in. Recently, his group has developed an AI assisted device for classification of ophthalmic (ASOCT) images with angle dysgenesis, consequential for glaucoma related clinical decisions. Currently, the device is being validated in larger populations in glaucoma clinics.

Dr. Gupta serves on the Department of Biotechnology (DBT, India) Technical Experts Committee for Computational and Theoretical Biology and is an Academic Editor for PLOS ONE. His group is at the forefront of Translational Bioinformatics research, bridging computational innovations with practical biological applications.