September 26-27, 2016
New York, NY
Jasmine Nettiksimmons

Jasmine Nettiksimmons
Data Scientist, Stitch Fix

Jasmine Nettiksimmons is a data scientist at Stitch Fix, where she focuses on robust parameter estimation in observational data and assessing how successfully humans interact with a live recommendation system. Prior to joining Stitch Fix, she worked in the field of cognitive aging with research focusing on biomarker profiles which are predictive of cognitive decline and dementia. In addition to her work in cognitive aging, she has a broad publication record across many public health and social issues including rural health care delivery, childhood obesity, domestic violence prevention, and family-friendly policy usage. Jasmine holds a PhD in epidemiology from UC Davis.

Sessions

4:35pm–5:15pm Tuesday, 09/27/2016
Interacting with AI
Location: 3D08 Level: Intermediate
Jianqiang (Jay) Wang (Stitch Fix), Jasmine Nettiksimmons (Stitch Fix)
Jay Wang and Jasmine Nettiksimmons explore the business model of Stitch Fix, an emerging startup that uses artificial intelligence and human experts for a personalized shopping experience, and highlight the challenges encountered implementing Stitch Fix's recommendation algorithm and interacting AI with human stylists. Read more.