Faculty Candidate Seminar|
Data Science for Human Well-being
Thursday, February 15, 2018|
10:30am - 11:30am
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About the Event
The popularity of wearable and mobile devices, including smartphones and
smartwatches, has generated an explosion of detailed behavioral data. These massive digital
traces provides us with an unparalleled opportunity to realize new types of scientific approaches
that provide novel insights about our lives, health, and happiness. However, gaining valuable
insights from these data requires new computational approaches that turn observational,
scientifically “weak” data into strong scientific results and can computationally test domain
theories at scale.
Tim Althoff is a Ph.D. candidate in Computer Science in the Infolab at Stanford University, advised by Jure Leskovec. His research advances computational methods to improve human well-being, combining techniques from Data Mining, Social Network Analysis, and Natural Language Processing. Prior to his PhD, Tim obtained M.S. and B.S. degrees from Stanford University and 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, and a Best Paper Award by the International Medical Informatics Association. Tim’s research has been covered internationally by news outlets including BBC, CNN, The Economist, The Wall Street Journal, and The New York Times.
Open to: Public