Tim Althoff

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 Ph.D. and M.S. degrees from the Computer Science Department at Stanford University, where he worked with Jure Leskovec. Prior to his PhD, Tim obtained M.S. and B.S. 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, an ACL 2023 Oustanding Paper Award, 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.

Single sentence biography

Tim Althoff is an assistant professor in the Allen School of Computer Science & Engineering developing computational methods that extract actionable insights from complex, large-scale data in order to better understand and empower people.

UW CSE 481DS: Data Science Capstone (Fall 2023/2024)

UW CSE 547: Machine Learning for Big Data (Spring 2022/2023)

UW CSE 481DS: Data Science Capstone (Fall 2022/2023)

UW CSE P590: Special Topics: Machine Learning for Big Data (Spring 2021/2022 PMP)

UW CSE 481DS: Data Science Capstone (Fall 2021/2022)

UW CSE 547: Machine Learning for Big Data (Spring 2020/2021)

UW CSE 481DS: Data Science Capstone (Fall 2020/2021)

UW CSE 547: Machine Learning for Big Data (Spring 2019/2020)

UW CSE 599H: Big and Small Data in Health (Fall 2019/2020)

UW CSE 547: Machine Learning for Big Data (Spring 2018/2019)

UW CSE 599H: Data Science for Human Well-being (Winter 2018/2019)

Dear prospective PhD students, every year I look for a small number of PhD students to recruit into our group and this is also true this year. I am especially looking for students with a background and/or interest in deep learning, causal inference, data science and mobile health. If you're interested please apply to the UW Allen School.

Due to the immense volume, I will likely not be able to respond to all e-mails. If you do sent me an e-mail, please clearly describe your interests, goals, prior research experience and how these may fit well into our research group. You can also ask your advisor to reach out to me to recommend you for any positions.