Summary
Zeke Piskulich is a postdoctoral computational chemist with over a decade of experience developing and deploying atomistic simulation methods, specializing in molecular dynamics, DFT, and alchemical free energy calculations for drug-target binding. He combines deep software engineering skills (C++, Fortran, Python, MPI, OpenMP) with extensive HPC practice, having run large-scale AIMD and free-energy workflows on national supercomputers and cloud platforms. At Rutgers and in industry collaborations he has contributed to AmberTools releases, built ML-potential training databases, and created reproducible tutorial architectures for free-energy workflows. His research produced novel algorithms for derivatives of transport properties and practical advances reconciling experimental NMR and pump-probe anisotropy measures of water dynamics. An NSF GRFP and Lindau alum who mentors students regularly, he bridges academic rigor and industrial drug-discovery needs while shipping production-ready simulation infrastructure.
9 years of coding experience
11 years of employment as a software developer
University of Kansas
International Baccalaureate Diploma and High School Diploma, International Baccalaureate Diploma and High School Diploma at International Academy of Bloomfield Hills
University of Missouri
English, Spanish