Matthew Epland

PhD student in particle physics at Duke University and member of the ATLAS experiment, pursuing a career in data science.

Contact Info:

  • matthew-epland
  • mepland

Data Science

Portfolio Projects:

Exploring Interdisciplinary Research at Duke via Ph.D. Committees
1st Place - 2018 Scholars@Duke Visualization Challenge

Interactive Network

2018 Scholars@Duke Visualization Challenge
Duke Scholars Bridge Disciplines to Tackle Big Questions

Description: By combining Duke Ph.D. committee membership data with the faculty appointments directory, connections between academic organizations were found and used to construct an undirected, weighted network (or graph). From this network communities of closely linked organizations were created via the Louvain method. Additionally, the level of interdisciplinary activity in each organization was measured by comparing the relative weights of their external and self connections. Analysis won 1st place in the competition.

Methods: Network analysis, Louvain method
Software: networkx, pandas, jupyter

Numerical Methods and the Dampened, Driven Pendulum


Description: A computational study of the dampened, driven pendulum using the Euler-Cromer and Rung-Kutta numerical methods to investigate resonance, nonlinear behavior, and chaos. Numerical simulations compared to theory where possible.

Methods: Euler-Cromer, Rung-Kutta, Ordinary Differential Equations, Chaos and Lyapunov Exponents
Software: numpy, matplotlib


ATLAS Experiment

My research interest is experimental particle physics at the LHC, specifically the ATLAS experiment. Based at Duke University I analyze data and write code, focusing on jet physics with my advisor Prof. Ayana Arce.

Multi-b Jet Search:

Currently I am researching new physics beyond the standard model with the multi-b search. We are looking for supersymmetric (SUSY) particles, gluinos in this case, that decay to multiple b-quark jets plus missing energy. This research will form my PhD thesis.

Large-Radius Jet Calibration:

For my qualification task to earn ATLAS authorship I developed a data driven jet energy scale (in-situ JES) calibration for large-radius jets. I am responsible for the photon-jet direct balance portion of the combined calibration, which uses momentum conservation to calibrate the large-radius jet by balancing it with a well-measured photon.



Teaching Assistant for DECISION 522Q: Data Visualization
Fall 2017
Course Description: This course explores techniques to effectively communicate information about data using graphical means, in popular data visualization tools such as Tableau.

Laboratory Teaching Assistant for PHYSICS 271L: Electronics
Spring 2016
Course Description: Elements of electronics including circuits, transfer functions, solid-state devices, transistor circuits, operational amplifier applications, digital circuits, and computer interfaces.

Laboratory Teaching Assistant for PHYSICS 152L: Introductory Electricity, Magnetism, and Optics
Fall 2015
Course Description: Intended principally for students in engineering and the physical sciences. Topics include: electric charge, electric fields, Gauss's Law, potential, capacitance, electrical current, resistance, circuit concepts, magnetic fields, magnetic and electric forces, Ampere's Law, magnetic induction, Faraday's Law, inductance, Maxwell's Equations, electromagnetic waves, elementary geometric optics, wave interference, and diffraction.


Currently I am unable to accept any more regularly scheduled students for the Spring 2018 semester. However if you are interested in having an occasional review session, such as before an exam, please email me at


Dielectric Sphere
: Electric fields due to a dielectric sphere with a point charge at the origin in a constant external Ez field.
Dielectric Sphere Plotting Code: Mathematica code to create the above plots. You must provide your own Er(r)!