Industry-Oriented Profile

I am a Physics PhD candidate (expected 2026) with research-software experience in simulation, data analysis, and reproducible computational workflows.

My work includes building and maintaining C++ and Python pipelines for numerical modeling, uncertainty-aware analysis, and publication-grade result generation on Linux and HPC environments.

I am also developing practical experience in quantum computing (Qiskit workflows) and ML/AI-assisted scientific workflows.

Technical stack

  • Languages: Python, C++, Mathematica, basic MATLAB
  • Platforms: Linux, Slurm/HPC, Git/GitHub/GitLab
  • Domains: scientific simulation, data analysis, uncertainty quantification, visualization

Experience

Graduate Researcher

Kent State University

Researching bottomonium suppression and transport in high-energy collisions. Building reproducible C++ and Python pipelines for simulation, uncertainty propagation, and publication-grade analysis.

Teaching Assistant

Kent State University

Supported undergraduate physics instruction and laboratory sections, including data analysis and computational problem solving.

Education

PhD in Physics (expected)

Kent State University

Advisors: Dr. Andrew Hanlon, Dr. Ramona Vogt, and Prof. Michael Strickland. Current work centers on quarkonium transport and suppression in p–Pb and heavy-ion systems.

M.A. in Physics

Kent State University

B.Sc. in Physics

Amrit Campus, Tribhuvan University

Graduated with distinction (ranked first in batch). Minors in mathematics and chemistry.
Skills
Programming and Scientific Computing
Python
C++
Mathematica
MATLAB (basic)
Qiskit
Research Toolchain
HPC and Slurm Workflows
Statistical Analysis and Uncertainty Quantification
Linux and Git-based Reproducible Pipelines
ROOT, Pythia, Geant4 (working familiarity)