Summary
Neeladri Sen is a Senior Bioinformatician with a decade of experience combining computational biology, structural bioinformatics and workflow engineering to predict functional sites and the impact of mutations in proteins across plants, humans and viruses. After a PhD at IISER Pune and an exchange at Birkbeck, he completed postdoctoral work at UCL’s CATH lab, producing tools and Nextflow pipelines that interpret mutation effects without solved structures and annotate SARS-CoV-2 and host proteins. His research spans development of environment-dependent substitution matrices, statistical potentials for interfaces, protein surface libraries and molecular simulations, and has resulted in 18 publications and multiple conference presentations. Skilled in Python, cluster computing, MD, docking, ML and protein language models, he recently moved into vaccine design at DIOSynVax, bringing mechanistic insight from enzyme specificity studies (e.g., triterpene synthases) to translational problems. Unusually, he blends deep structural-statistical methods with production-ready workflows, enabling both hypothesis-driven discovery and reproducible, scalable analyses.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Microbiology, A, Bachelor's degree, Microbiology, A at St. Xavier's College (Autonomous), Kolkata
Master's degree, Life Science, A, Master's degree, Life Science, A at Indian Institute of Science Education and Research (IISER), Pune