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Paul Hemphill has worked in a variety of research roles since 2009. In 2008, they were a Research Assistant at UCLA, where they tested and characterized photomultiplier tubes, avalanche photodiodes, and hybrid photodiodes intended for liquid noble gas dark matter detectors. From 2009 to 2016, they were a Graduate Student Researcher at the University of California, San Diego, where they studied X-ray spectra and time-series data from X-ray binaries, proposed for new observations with NuSTAR, and presented results at conferences and in refereed publications. Paul also served as a Lab TA Coordinator, supervising and training teaching assistants, running tutorial sessions, and teaching physics lab courses. From 2016 to 2020, they were a Postdoctoral Scholar at Massachusetts Institute of Technology (MIT), where they designed and led research projects in X-ray astrophysics (spectroscopy, time-series analysis, and imaging), primarily using NASA's Chandra X-ray Observatory. Paul submitted multiple successful proposals for new observations with Chandra, NuSTAR, and NICER, and presented results in refereed papers and at professional conferences. Currently, Paul Hemphill is a Lead Research Scientist at Boston Fusion.

Paul Hemphill obtained their Doctor of Philosophy (Ph.D.) in Astrophysics from UC San Diego in 2016. Paul had previously obtained a Bachelor's Degree in Astrophysics from the University of California, Los Angeles in 2008, and prior to that had attended Santa Rosa Junior College from 2003 to 2006, studying Physics. Additionally, Paul has obtained two certifications from Coursera in 2021, one for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization and one for Neural Networks and Deep Learning.