Abhishek Mukhopadhyay

Abhishek Mukhopadhyay has been working in the field of protein modeling and design since 2015. Abhishek started at Zymeworks Inc. as a Scientist, where they conducted research and development of computational methods for protein antibody therapeutics. Abhishek then moved up to Senior Scientist, where they designed, developed, and validated an in-house protein-fragment-assembly workflow and a high throughput local structure refinement technique to engineer large scale mutations in antibodies. Abhishek also developed a kernel density estimator to predict sequence dependent protein backbone torsion angles and implemented a de-novo loop generator to predict native loop conformation in proteins. In this role, they supervised two junior scientists in various projects involving physics based and machine learning based protein modeling. In 2022, Abhishek moved to Gandeeva Therapeutics as an Associate Director, where their research focus has been primarily using machine learning to address challenges in protein modeling and design. In this role, they have managed a team of four scientists with backgrounds in machine learning and computational chemistry and has developed new protein modeling and design tools using machine learning.

Abhishek Mukhopadhyay completed their Doctor of Philosophy (PhD) in Physics at Virginia Tech in 2015. Prior to that, they obtained their Master of Science (M.Sc.) in Physics from the Indian Institute of Technology, Kanpur in 2007.