Mohammad Amin Danesh
State College,PA
Summary
Data Scientist and Researcher with a background in Computational Physics. Skilled in processing large-scale datasets using Python, SQL, and high-performance computing (Slurm/Bash). Expertise in applying machine learning algorithms (K-Means, GMM, PCA, tICA) to solve complex analytical problems. Experienced in automating workflows and visualizing high-dimensional data for technical stakeholders.
Overview
4
4
years of professional experience
Work History
Graduate Teaching Assistant
Pennsylvania State University
State College, PA
08.2025 - Current
- Facilitated classroom and laboratory discussions and active learning modules for introductory physics courses, enhancing comprehension of Newtonian Physics and Fluid Dynamics.
- Managed weekly office hours to offer academic guidance and clarify complex physics topics.
- Evaluated student assignments and delivered detailed, constructive feedback to support academic progress.
Graduate Research Assistant
Pennsylvania State University
State College, Pennsylvania
05.2025 - 08.2025
- Conducted Molecular Dynamics simulations of silver crystalline structures using LAMMPS on the Roar Collab High-Performance Computing Cluster.
- Implemented unsupervised machine learning pipelines in Python (PCA, K-Means, GMM) to classify structural phases and analyze data dimensionality.
- Developed and applied Time-Lagged Independent Component Analysis (t-ICA) to evaluate time-series MD data, identifying slow-mode transitions in crystal structures.
- Synthesized research findings into technical reports and visual presentations for weekly reviews with the Principal Investigator.
Teaching Assistant
Bucknell University
Lewisburg, Pennsylvania
08.2022 - 05.2024
- Prepared and deployed course materials for introductory college physics, covering key concepts like Newtonian Mechanics, Electromagnetism, Thermodynamics, Special Relativity, and Quantum Mechanics.
- Provided academic support through weekly office hours and grading, fostering a supportive learning environment for diverse student groups.
Research Assistant
Bucknell University
Lewisburg, Pennsylvania
06.2022 - 05.2024
- Executed large-scale molecular dynamics simulations of granular materials using LAMMPS across multiple supercomputing clusters (Stampede2, Stampede3, Bridges2).
- Built Python analysis scripts to calculate local non-affine deformation (D2min) and local shear rate, characterizing mechanical responses in granular media.
- Presented research findings to subject matter experts at the APS March Meeting (2023 and 2024), and departmental symposiums.
- Collaborated with faculty to refine simulation parameters, and documented all findings to ensure reproducibility and knowledge transfer.
Education
Master of Science - Physics
Pennsylvania State University
University Park, PA05-2026
Bachelor of Science - Physics
Bucknell University
Lewisburg05-2024
Skills
- Programming: Python, C, R, MATLAB, SQL, Bash
- Data Analysis & ML Libraries: NumPy, SciPy, Scikit-learn, Deeptime
- Machine Learning Techniques: PCA, K-Means Clustering, GMM, t-ICA
- High-Performance Computing: Linux/Unix, LAMMPS, Slurm, Stampede2, Stampede3, Bridges2
- Software: Microsoft Office Suite, LaTeX
Timeline
Graduate Teaching Assistant
Pennsylvania State University
08.2025 - Current
Graduate Research Assistant
Pennsylvania State University
05.2025 - 08.2025
Teaching Assistant
Bucknell University
08.2022 - 05.2024
Research Assistant
Bucknell University
06.2022 - 05.2024
Master of Science - Physics
Pennsylvania State University
Bachelor of Science - Physics
Bucknell University