Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Jorie Koster-Hale

Jorie Koster-Hale
Data Scientist, Dataiku

Jorie Koster-Hale is a lead scientist at Dataiku, with expertise in neuroscience, healthcare data, and machine learning. Prior to joining Dataiku, she completed her Ph.D. in Cognitive Neuroscience at Massachusetts Institute of Technology and worked as a Postdoctoral Fellow at Harvard. Jorie currently resides in Paris, where she builds predictive models and eats pain au chocolat.


17:2518:05 Wednesday, 23 May 2018
Jorie Koster-Hale (Dataiku)
Predicting crime poses a unique technical challenge - it is affected by many different geospatial and temporal features - weather, infrastructure, demographics, public events and government policy. Here, I use a combination of open source data, machine learning, time series modeling, and geostatistics to ask where crime will occur, what predicts it, and what we can do to prevent it in the future. Read more.