Summary
Shailesh Panday is a postdoctoral researcher with 9 years of experience in biomolecular modeling, specializing in electrostatic method development, molecular dynamics, and binding free energy prediction. He has led development and maintenance of the DelPhi Poisson–Boltzmann solver and related web resources for predicting mutation effects, pKa, and solvation properties, blending statistical mechanics with practical tool-building. His work spans docking, homology modeling, and network/statistical analyses to probe sequence-to-structure mappings and receptor–ligand/protein–protein energetics. Comfortable across C/C++, Python, R and HPC environments, he pairs deep computational biophysics expertise with software engineering for reproducible, high-performance research. Based in Clemson with postdoctoral appointments at multiple U.S. institutions, he mentors students while advancing methods that clarify when and how common in-silico predictors succeed or fail.
9 years of coding experience
Doctor of Philosophy - PhD, Computational Biology and Bioinformatics, Doctor of Philosophy - PhD, Computational Biology and Bioinformatics at Jawaharlal Nehru University
MCA - Master of Computer Applications, Computer Applications, 70, MCA - Master of Computer Applications, Computer Applications, 70 at BABU BANARASI DAS NATIONAL INSTITUTE OF TECHNOLOGY AND MANAGEMENT, LUCKNOW
English, Hindi