Suvrajit received his Bachelor's and Master's degree in Mathematics and Computing from the Indian Institute of Technology, Kharagpur, India. He then received his Ph.D. degree in computational biology from Carnegie Mellon University under the mentorship of his thesis advisor Dr. Marcel P. Bruchez. His thesis topic was “Generative Models for Super-Resolution Single Molecule Microscopy Images of Biological Structures”. He moved to Columbia University to continue his postdoctoral research work under the mentorship of Dr. Joachim Frank, where he focused on developing advanced mathematical, computer vision, and machine learning techniques for studying the structure and dynamics of molecular machines such as the Ribosomes and determining high-resolution 3D structures from 2D cryo-EM image datasets.

His current research in the lab of Chaolin Zhang focuses on computational methods development and application to study RNA-protein binding interactions using CLIP sequencing datasets. He is also involved in developing machine learning & deep learning methods to model and study RNA-protein complex structures.