Foster Provost is a Professor, Andre Meyer Faculty Fellow, Director Fubon Center, Data Analytics and AI, at NYU's Stern School of Business, and Professor of Data Science and former Director and NYU's Center for Data Science. Previously, he worked as a data scientist for what's now Verizon for five years, winning a President's Award for his work there. Professor Provost's research and teaching focus on data science, machine learning, business analytics, (social) network data, and crowd-sourcing for data analytics. He was Editor-in-Chief of the journal Machine Learning from 2004 to 2010 and was Program Chair of the premier data science conference in 2001. He has collaborated with AT&T, IBM, and others, and he has founded several data-science based companies focusing on modeling consumer behavior data especially for marketing and advertising applications. His prior work applied and extended data science methods to business applications including fraud detection, counterterrorism, network diagnosis, and more. Professor Provost’s work has won (among others) IBM Faculty Awards, the aforementioned President's Award, Best Paper awards at KDD, including the 2012 Best Industry Paper, and the INFORMS Design Science Award.
Tom Fawcett is a Principal Data Scientist at Silicon Valley Data Science. He is an active member of the machine learning and data mining communities. He has a Ph.D. in machine learning from UMass-Amherst and has worked in industrial research (GTE Laboratories, NYNEX/Verizon Labs, HP Labs, etc.). In his career he has published numerous conference and journal papers in machine learning. He has just completed a five year term as action editor of the Machine Learning journal, before which he was an editorial board member. In 2003 he co-chaired the program of the premier machine learning conference (ICML) and has organized many workshops and journal special issues. He received a Best Paper Award from KDD, a SCOPUS Award (most cited paper) from Pattern Recognition Letters, and a President's Award from Verizon. He frequently appears in print as "et al."
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