Summary
Dheeraj Prakaash is a computational biophysicist with a decade of experience modeling biomolecular systems, currently a postdoctoral research associate at the University of Utah after postdoctoral work at Oxford. He specializes in multi-scale and molecular dynamics simulations of membrane proteins and bacterial envelopes, having produced the first full-length models of key T cell signaling proteins and leveraged national supercomputing facilities like ARCHER2 and Leeds’ ARC systems. His work blends rigorous computational chemistry with practical implementation (GROMACS, coarse-grained force fields) and a background spanning bioinformatics and wet-lab techniques, enabling cross-disciplinary insight. Notably, he has continued productive remote collaborations across institutions while also upskilling in AI and machine learning through Caltech’s program, positioning him to bridge simulation science and data-driven methods.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Biophysics, Doctor of Philosophy - PhD, Computational Biophysics at University of Leeds
Postdoctoral Research, Computational Biochemistry, Postdoctoral Research, Computational Biochemistry at University of Oxford
Master's degree, Bioinformatics, First Class with Distinction, Master's degree, Bioinformatics, First Class with Distinction at Manipal Academy of Higher Education
California Institute of Technology
Bengaluru University
Kannada, Hindi, English