Overview
Dr. Basu is a computational biologist with a well-balanced academic background having a B.Tech degree in Biotechnology (Haldia Institute of Technology, 2012) and M.Tech degree in Bioinformatics (WBUT, Saltlake campus, 2014). Driven by her fascination of exploring the biological phenomenon through computational methods, she pursued her career in computational biology. Dr. Basu received her Ph.D. degree from Indian Institute of Technology Kharagpur in 2021 under supervision of Prof. Ranjit Prasad Bahadur, where she deciphered important insights on structural and functional aspects of intrinsically disordered proteins (IDPs). She was also awarded the prestigious DST-INSPIRE fellowship during her doctoral studies. Soon after submitting her thesis, she joined Indian Association for the Cultivation of Science, Kolkata, as a Research Associate under Prof. Biman Jana, where she studied the role of solute-solvent interactions behind supra-molecular assembly formation. She further pursued her postdoctoral research in Virginia Commonwealth University, USA, under Prof. Lukasz Kurgan from 2022. There, she further strengthened her expertise on IDPs, working on predictions of intrinsic disorder and their associated functions, alongside developing multiple web platforms including prediction tools and databases with advanced data visualization. Dr. Basu joined as an Assistant Professor at the Pilani campus of BITS Pilani in October 2025.
Research perspective
Dr. Basu's academic trajectory has been extremely interdisciplinary where her expertise includes molecular dynamics simulations, binding energy calculations, and enhanced sampling techniques, complemented by advanced applications of data science in bench-marking datasets, critically evaluating predictive models, conducting descriptive and inferential statistical analyses, and developing bioinformatics web resources, including web servers and databases. With this background, she plans to establish a research team that would broadly focus on functional annotations of proteins with direct implications to human diseases. Her upcoming projects will have an integration of data science-driven analyses, application of artificial intelligence and molecular mechanistic studies using biophysical principles like molecular dynamics/coarse-grained simulations.
To follow her research work refer to this link: Publications
More details on research projects to be updated soon.
