Tim Althoff

Expertise: data science, data mining, computational social science, social network analysis, natural language processing, applications to human health and well-being, industry consulting

Tim Althoff is an assistant professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. His research advances computational methods that leverage large-scale behavioral data to extract actionable insights about our lives, health and happiness through combining techniques from data science, social network analysis and natural language processing.

Tim holds doctoral and master’s degrees from the Computer Science Department at Stanford University, where he worked with Jure Leskovec. Prior to his doctoral degree, Tim obtained master’s and bachelors degrees from the University of Kaiserslautern, Germany. He has received several fellowships and awards including the SAP Stanford Graduate Fellowship, Fulbright scholarship, German Academic Exchange Service scholarship, the German National Merit Foundation scholarship, a Best Paper Award by the International Medical Informatics Association, the WWW 2021 Best Paper Award, two ICWSM 2021 Best Paper Awards, and the SIGKDD Dissertation Award 2019. Tim’s research has been covered internationally by news outlets including BBC, CNN, The Economist, The Wall Street Journal, and The New York Times.