Esmaeel Sarvestani

Esmaeel Sarvestani is an accomplished R&D Data Analyst at Nash Technologies since February 2020, with extensive experience as a Research Scientist at Forschungszentrum Jülich from 2013 to February 2020. Expertise includes programming in C++, Python, and Fortran, as well as developing, testing, and maintaining Quantum Monte-Carlo (QMC) simulation software, alongside high-performance parallel computing utilizing Message Passing Interface (MPI). Esmaeel also specializes in the analysis, interpretation, and visualization of data from Monte-Carlo simulations and numerical modeling of optical sum-rules in strongly correlated materials. Additionally, Esmaeel serves as an executive committee member for the annual “Jülich Autumn School on Correlated Electrons.” Educational qualifications include a Doctor of Philosophy in Computational Condensed Matter Physics from RWTH Aachen University, a Master of Science in Condensed Matter and Materials Physics from Isfahan University of Technology, and a Bachelor of Science in Physics from the University of Tehran.