Academic Credentials
  • Ph.D., Physics, University of California, Berkeley, 2022
  • M.A., Physics, University of California, Berkeley, 2020
  • B.A., Physics, New York University, 2017
Academic Appointments
  • Graduate Student Researcher, Department of Physics, University of California, Berkeley, 2019-2022
  • Graduate Student Instructor, Department of Physics, University of California, Berkeley, 2017-2019
Professional Honors
  • Lars Commins Memorial Award in Experimental Physics (2022)
  • Heising-Simons Physics Fellowship (2020)
  • Outstanding Graduate Student Instructor (2019)
Professional Affiliations
  • American Physical Society

Dr. Shannon Haley applies her experience with analyzing diverse datasets to engage in complex investigations and distill large amounts of information into clear and concise data stories. Working on smart card security, multi-facility production lines, cutting-edge information storage platforms, and datasets of all kinds, Shannon has developed skills in areas including data cleaning and analysis, statistics, dashboard building, side channel analysis, fault injection, and digital image processing.

Shannon received her PhD in physics from UC Berkeley, where she studied frustrated magnetism and other platforms for next-generation memory storage. Through the collection, analysis, and synthesis of data from a number of standard and non-standard measurement techniques, she revealed details of the magnetic order which fundamentally altered our understanding of these systems' capabilities.

While completing her thesis work, Shannon consulted for an early-stage tech startup, finding and analyzing consumer behavior datasets and generating geospatial data visualizations in order to inform their go-to-market strategy. Prior to her thesis work, her projects ranged from simulating magnetic shielding for a dark matter detector array, to developing a machine learning analysis pipeline for mouse neuron datasets, to using digital image analysis to better understand the immune system and how cells age.