Kyle Lo is an Applied Research Scientist on the Semantic Scholar team. After receiving his M.S. in Statistics from the University of Washington, he worked in Seattle as a data scientist focused on time series forecasting, statistical machine learning, and experimental design problems. Outside of work, he enjoys books, movies, board games, and occasionally tennis.