

Computational scientist with 10+ years of experience in quantum chemistry, nonadiabatic dynamics, and ultrafast spectroscopy simulations. Specialist in method development and software implementation, with expertise in Python, Fortran, HPC workflows, and quantum chemistry codes (NEXMD, NWChem). Proven track record of designing new algorithms that extend predictive power of DFT/TDDFT and semiempirical methods, with 40+ publications. Now seeking to leverage my strong foundation in quantum chemistry and HPC, while building expertise in GPU-accelerated workflows and AI/ML integration to advance molecular discovery.
Programming & Tools: Python, Fortran, C, Git, Linux, HPC, Slurm, Wolfram Mathematica
Computational Chemistry: DFT/TDDFT, semiempirical methods, excited-state dynamics
HPC & Parallelization: MPI, OpenMP, large-scale molecular simulations (>100 atoms)
Method Development: Nonadiabatic molecular dynamics (AIMC, Ehrenfest, surface hopping), ultrafast spectroscopy signals, constrained molecular dynamics, wave function overlaps between single and multireference electronic structure levels
Applications: Organic photovoltaics, dendrimers, charge-transfer in donor-acceptor systems, chirality, X-ray circular dichroism
Experience publishing in leading chemistry journals