Daisy Huang is a lecturer at the Center for Statistics and Machine Learning at Princeton. She teaches SML 201 (an introductory Data Science course) and SML 310 (a seminar course that foster students’ ability to do research in Data Science). She received her PhD in Statistics from UC Berkeley. Before joining Princeton, she spent time in industry working at Amazon as a data scientist.