Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Melinda Han Williams

Melinda Han Williams
Chief Data Scientist, Dstillery


Melinda Han Williams is the chief data scientist at Dstillery. Before joining the ad tech industry, Melinda worked as a physicist developing third generation photovoltaics and studying electronic transport in nanostructured graphene devices. Her peer-reviewed journal publications have been cited over 8,000 times. Melinda holds bachelor’s degrees in applied math and engineering physics from the University of California at Berkeley and a PhD in applied physics with distinction from Columbia University, where she held a National Science Foundation Graduate Research Fellowship.


11:50am12:30pm Wednesday, March 27, 2019
Melinda Han Williams (Dstillery)
Average rating: ****.
(4.86, 14 ratings)
Customer segmentation based on coarse survey data is a staple of traditional market research. Melinda Han Williams explains how Dstillery uses neural networks to model the digital pathways of 100M consumers and uses the resulting embedding space to cluster customer populations into fine-grained behavioral segments and inform smarter consumer insights—in the process, creating a map of the internet. Read more.