Minzhang Chen
Los Angeles,CA
Summary
Expertise in physics and machine learning, specializing in FermiNet-based modeling and large-scale many-body simulations. Experience in semiconductor and spintronics experiments, focusing on measurements, sample preparation, and data analysis. Proficient in Python, MATLAB, and HPC environments, with a proven track record in leading undergraduate instruction and developing curricula.
Overview
5
5
years of professional experience
Work History
Teaching Assistant
UCLA
LOS ANGELES, CA
10.2024 - 06.2025
- I served as a teaching assistant for several undergraduate courses, including both standard lecture-based classes and an intensive cluster class.
- For the Cluster Class, I served as the primary instructor for one section, where I independently prepared and delivered weekly lectures, created all course materials (slides, exercises, and assessments), and provided academic support through office hours.
- For other courses, I supported instructors by holding discussion sessions, grading assignments and exams, managing student questions, and assisting with curriculum refinement.
- Experienced in teaching topics including Python programming, data analysis, and linear algebra, and adapting explanations to diverse student backgrounds.
Ph.D. Researcher, ECE UCLA
Kang L Wang
Angeles, CA
09.2020 - 06.2025
- Conducted research at the intersection of machine learning and quantum physics, with a focus on applying deep neural networks (e.g., FermiNet) to model complex multi-fermion systems.
- Investigated self-organized criticality in interacting many-body systems; implemented and analyzed large-scale network simulations to explore emergent critical behavior.
- Collaborated with lab members on experimental studies in spintronics and semiconductor physics, assisting with sample preparation, measurement procedures, and data interpretation.
- Gained experience in both computational and experimental physics, with emphasis on high-performance simulation, data-driven modeling, and interdisciplinary collaboration.
Education
Engineer - Electrical Engineering
University of California, Los Angeles
Los Angeles, CA09-2025
Master of Science - Electrical Engineering
University of California, Los Angeles
Los Angeles, CA06-2022
Bachelor of Science - Physics
Lanzhou University
Lanzhou China06-2020
Skills
- Python (scientific computing with NumPy, SciPy, and Matplotlib)
- MATLAB (numerical modeling and simulation)
- Machine learning, including deep neural networks, mainly focuses on FermiNet
- Simulation development (large-scale many-body systems and criticality modeling)
- SQL (high-dimensional and physical datasets)
- High-performance computing (cluster simulation using SLURM on the UCLA Hoffman Cluster)
- Curriculum development (lecture material design and full section instruction)
- Version control and documentation (Git, LaTeX for scientific writing)
- Linux/Unix proficiency (shell scripting, job scheduling, remote computing)
- Effective communication (technical writing, interdisciplinary collaboration, teaching)
Accomplishments
- University Fellowship (2020-2022)
Timeline
Teaching Assistant
UCLA
10.2024 - 06.2025
Ph.D. Researcher, ECE UCLA
Kang L Wang
09.2020 - 06.2025
Engineer - Electrical Engineering
University of California, Los Angeles
Master of Science - Electrical Engineering
University of California, Los Angeles
Bachelor of Science - Physics
Lanzhou University
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