Research Program and Theme
- Program: Cancer Technology and Data Science
- Theme: Computational Engineering and Data Science
Research Focus
Diwakar Shukla’s research group develops and applies computational chemistry approaches to decipher the mechanisms that regulate protein function, which play a critical role in governing cellular and organismal behavior. Shukla’s group develops computational and theoretical methods to investigate long-timescale processes that regulate biological systems. Their research addresses fundamental questions about the three critical modes of regulation in regulatory molecular biology, especially regarding membrane proteins, and develops methods to enable the computational investigation of these systems at an atomistic level. Learn more about Diwakar Shukla’s lab.
Other Campus Affiliations
- Professor, Bioengineering
- Affiliate, Chemistry
- Professor, Center for Digital Agriculture, National Center for Supercomputing Applications
- Professor, National Center for Supercomputing Applications
- Professor, Beckman Institute for Advanced Science and Technology
- Affiliate, Carl R. Woese Institute for Genomic Biology