Resume

Software Development Experience

• Upgraded Wisconsin Plasma Physics Laboratory (WiPPL) data acquisition pipeline from the digitizers to the MDSplus data storage server to include post-processing of data from multiple sources including a MySQL server.
• Developed a customizable Python GUI for viewing data from the lab’s MDSplus server to replace a 3rd party Java app.
• Wrote Python scripts to analyze GBs of data from multiple plasma shots to create profiles of relevant plasma parameters.
• Developed LabView applications for controlling power supplies, diagnostics, digitizers, and other lab equipment for running plasma experiments.

Statistical Analysis Experience

• Developed a Bayesian analysis technique for absolute wavelength and point-spread function calibration of a Fabry-P'erot spectromter enabling high-precision ion temperature and velocity measurements in low-temperature plasmas.
• Analyzed data from probes by fitting multivariate regression models to determine plasma parameters such as density and temperature.
• Fit optical measurements to profiles of plasma parameters by using Bayesian inference techniques

Professional Communications

• Presented posters on low-temperature plasma physics research annually to a community of mainly fusion researchers at the American Physical Society Division of Plasma Physics
• Presented current research to UW-Madison plasma physics department twice a year.
• Worked with the physics department Director of Undergraduate Studies to simplify models for diagnostics so that undergraduates can fit data collected in their senior-level physics lab class.
• First author on a paper selected as Editor’s Choice in Review of Scientific Instruments. Contributed to other papers published by colleagues in the lab.

Education

• Ph.D in Physics, University of Wisconsin, Jan. 2020 (expected)
  • Specialized in plasma physics focusing on astrophysical phenomena in the laboratory.
• B.S. in Engineering Physics, Cornell University, 2011
  • Graduated Magna Cum Laude.

Skills

• Python (Numpy, SciPy, Matplotlib, PyQt)
• Bayesian data analysis
• Advanced Mathematics (multivariable calculus, linear algebra, differential equations)
• LabView
• LaTeX
• Basic SQL
• Basic Tensorflow and scikit-learn
• Familiarity with Linux and the command line