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Brian joined Dstillery as head of the data science team in September 2008. He has led the development of Dstillery’s patent pending machine learning technology, as the company has gone from pre-revenue to supporting 100s of concurrent client campaigns. His current research interests include building autonomous machine learning systems over big data architectures, causal inference and influence attribution. He recently served as co-chair of the 2012 KDD Cup competition. Prior to joining m6d, he was a Senior Research Analyst at Meetup.com and a credit risk modeler for American Express. He holds an MBA with a concentration in Statistics from NYU and a BS in Mathematics and French Literature from Rutgers.
Scalable Hands Free Transfer Learning for Online Advertising
as author at Industry & Government Sessions,
Introduction to Ignite Talks
as presenter at 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), New York 2014,
together with: Jake Porway (presenter),