Claudia Perlich serves as Chief Scientist at Dstillery and in this role designs, develops, analyzes and optimizes the machine learning that drives digital advertising to prospective customers of brands. An active industry speaker and frequent contributor to industry publications, Claudia enjoys serving as a guide in world of data, and was recently named winner of the Advertising Research Foundation’s (ARF) Grand Innovation Award and was selected as member of the Crain’s NY annual 40 Under 40 list. Additionally, she has been published in over 30 scientific journals, and holds multiple patents in machine learning. She has won many data mining competitions, including the prestigious KDD Cup three times for her work on movie ratings in 2007, breast cancer detection in 2008, and churn and propensity predictions for telecom customers in 2009, as well as the KDD best paper award for data leakage in 2011 and bid optimization in 2012. Prior to joining Dstillery, she worked in Data Analytics Research at IBM’s Watson Research Center, concentrating on data analytics and machine learning for complex real-world domains and applications. Claudia has a PhD in Information Systems from NYU and an MA in Computer Science from the University of Colorado. Claudia takes active interest in the making of the next generation of data scientists and is teaching “Data Mining for Business Intelligence” in the NYU Stern MBA program.