Resume

Physics researcher with expertise in experimental and computational physics, data analysis, and scientific computing.

Summary

Donald Jackson

Physics researcher with expertise in experimental and computational physics, data analysis, and scientific computing. Proven track record in designing and conducting complex experiments, analyzing large datasets using Python and statistical methods, and developing innovative solutions to fundamental physics problems.

  • Chicago, IL
  • (346) 370-8026
  • jd379p181@gmail.com

Education

M.S. in Physics (Condensed Matter)

Sept 2012 - May 2014

Northwestern University

B.S. in Physics with Honors

Sept 2008 - May 2012

UIUC, College of Engineering

Technical Skills

Programming Languages: Python, MATLAB, C++, LabVIEW, Mathematica

Data Analysis & Visualization: NumPy, SciPy, Pandas, Matplotlib, Plotly, ROOT

Experimental Techniques: Spectroscopy, X-ray Diffraction, Cryogenic Systems, Laser Optics, Signal Processing

Computational Physics: Finite Element Analysis (COMSOL), Monte Carlo Simulations, Molecular Dynamics

Scientific Computing: Statistical Analysis, Error Analysis, Uncertainty Quantification, Machine Learning (scikit-learn, TensorFlow)

Professional Experience

Research Physicist

Aug 2020 - Present

Fermi National Accelerator Laboratory (Fermilab) | Batavia, IL

  • Conducted precision measurements in muon g-2 experiment using advanced detector systems and signal processing techniques, contributing to high-impact physics publications.
  • Developed Python-based data analysis pipelines for processing terabytes of experimental data, implementing statistical methods and machine learning algorithms for particle identification.
  • Collaborated with 50+ international researchers on detector calibration and systematic uncertainty quantification, improving measurement precision by 15%.
  • Mentored 3 graduate students on experimental techniques, data analysis workflows, and scientific communication.

Experimental Physicist

June 2018 - July 2020

Argonne National Laboratory | Lemont, IL

  • Designed and constructed laser-based diagnostic systems for materials characterization using time-resolved spectroscopy, achieving sub-nanosecond temporal resolution.
  • Analyzed experimental data from synchrotron X-ray diffraction studies on condensed matter systems using MATLAB and Python; published 4 peer-reviewed articles.
  • Optimized experimental parameters through systematic studies, reducing data acquisition time by 40% while maintaining signal quality.
  • Presented findings at 6 national physics conferences and organized collaborative workshops with university partners.

Graduate Research Assistant

Aug 2015 - May 2020

UIUC Department of Physics | Urbana, IL

  • Conducted experimental research on quantum transport phenomena in novel materials under extreme conditions (low temperature, high magnetic field).
  • Implemented automated measurement systems using LabVIEW and Python for real-time data acquisition and feedback control.
  • Performed cryogenic system maintenance and troubleshooting; managed dilution refrigerator operating at millikelvin temperatures.
  • Developed theoretical models using computational physics simulations to interpret experimental observations.