Samuel completed his BS in physics and mathematics at MIT, and his PhD in physics at the University of Connecticut while jointly a pre-doctoral fellow at the Harvard-Smithsonian Center for Astrophysics, and an NSF Graduate Research Fellow. Following his PhD, he worked as a statistician/machine learning engineer focused on defect reduction problems in the steel sector in Germany, before returning to research in his current position as a postdoctoral fellow at Dana-Farber Cancer Institute/Harvard Medical School, where he conducts statistical research on the causes of cancer, metastasis, and patient-specific responses to immunotherapy.
Since 2015, Samuel has served as a tutor to Harvard undergraduates in the subjects of physics, mathematics, statistics, and German. Additionally, he has since 2014 served as an educational counselor for MIT, conducting interviews and writing reports about applicants to the undergraduate program.
When not thinking about cancer genetics or scientific pedagogy, he enjoys running, learning new words, and watching old movies.