Prashant Gupta is a postdoctoral fellow at the Wellcome Sanger Institute with a decade of experience applying deep learning and interpretable AI to genomics, cancer research, and cell biology. He builds and analyzes genomic language models trained on saturation genome editing data to prioritize lab experiments and reveal nucleotide-resolution activity patterns. With a PhD from IIT Delhi in computational biology and ML, he blends rigorous academic research with hands-on engineering from roles spanning startups to industry R&D. His work uniquely connects causal and interpretable AI methods to experimental design, accelerating discovery by making model insights actionable for wet-lab validation. Based in Cambridge, he combines a systems-level view of complex biological networks with practical experience shipping ML solutions across research and product contexts.
10 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Bachelor of Technology (B.Tech.), Electronics and Communication Engineering, Bachelor of Technology (B.Tech.), Electronics and Communication Engineering at Motilal Nehru National Institute Of Technology
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Prashant Gupta - Postdoctoral Fellow at Wellcome Sanger Institute