Summary
Rashmi Kumari is a computational biophysicist and postdoctoral fellow with 12 years of experience applying large-scale molecular dynamics and structural bioinformatics to drug design and protein thermostability problems. Based at EMBL-EBI in the Greater Cambridge area, she combines expertise in GROMACS/NAMD simulations, free-energy methods (MM-PBSA/MM-GBSA, APBS), docking/rescoring, and homology modeling to dissect protein–ligand and protein–protein interactions at atomistic detail. Her PhD work pioneered computational approaches for rational design of thermostability, and she has continued that thread across postdoctoral roles in Sweden and the UK. Comfortable scripting in Python and shell, she bridges simulation, analysis, and visualization workflows (VMD, PyMOL, Chimera) to turn complex biophysical questions into quantitative predictions. Notably, she brings both deep methodological breadth and practical experience running stability predictions and virtual screens that inform experimental follow-up.
12 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (PhD), Computational Biophysics, Doctor of Philosophy (PhD), Computational Biophysics at Jawaharlal Nehru University
Bachelor of Science (BSc), Industrial Microbiology, Bachelor of Science (BSc), Industrial Microbiology at Patna Women's College, Patna
Master of Science (MSc), Bioinformatics, Master of Science (MSc), Bioinformatics at Banasthali Vidyapith, Rajasthan