Research Program and Theme
Cancer Technology and Data Science | Computational Engineering and Data Science
Research Focus
Diwakar Shukla’s research group develops and employs computational chemistry approaches to decipher the mechanisms of regulation of protein function, which play a critical role in governing cellular and organismal behavior. Shukla’s group develops computational and theoretical methods to enable the investigation of long-timescale processes associated with the regulation of biological systems. Their research is addressing fundamental questions about the three critical modes of regulation in the field of regulatory molecular biology, especially in regards to membrane proteins, and developing methods to enable the computational investigation of these systems in atomistic detail.
Education
- Ph.D., Chemical Engineering, Massachusetts Institute of Technology
Campus Affiliations
- Associate Professor, Chemical and Biomolecular Engineering
- Associate Professor, Bioengineering
- Affiliate, Chemistry
- Associate Professor, Center for Digital Agriculture, National Center for Supercomputing Applications (NCSA)
- Associate Professor, National Center for Supercomputing Applications (NCSA)
- Associate Professor, Beckman Institute for Advanced Science and Technology
- Affiliate, Carl R. Woese Institute for Genomic Biology
Select Honors and Recognitions
- NSF CAREER Award, 2018
- Sloan Research Fellowship, 2019
- New Innovator in Food and Agriculture Research Award, 2017
- ACS COMP OpenEye Outstanding Junior Faculty Award, 2018
- CoMSEF Young Investigator Award for Modeling and Simulation, 2018