Sam Markson received his S.B. in mathematics and physics from MIT, and his Ph.D. in physics from the University of Connecticut, studying ultracold Rydberg molecules.  After his Ph.D. he worked at a start-up in Berlin applying machine learning to reduce defects in steel manufacturing, then as a postdoc at Dana-Farber/MGH, where he analyzed single-cell RNA data to better understand the response of brain metastases to immune checkpoint inhibition. In the Sharpe lab, Sam develops and applies algorithms to better understand T cell responses to immune checkpoint blockade in the cancer setting.  Outside of lab, Sam likes running, learning languages, and bird-watching.