The Center for Data Science is directed by Distinguished Professor Andrew McCallum, an international leader in the fields of machine learning, information extraction and social network analysis. He is the current president of the International Machine Learning Society and among the most highly cited researchers internationally in the field of natural language processing. In the early 2000’s he was vice president of research and development at WhizBang Labs, a 170-person start-up company, and he has collaborated with more than 20 companies since joining the UMass Amherst faculty in 2003.
Ph.D., Computer Science, University of Rochester (1995), B.S., Dartmouth College (1989, summa cum laude). Professor McCallum joined the faculty of the Department of Computer Science as a Research Associate Professor in 2002 and became an Associate Professor in 2003 (awarded tenure in 2007). Previously, he was Vice President of Research and Development at WhizBang Labs, and Director of their 30-person research and development lab in Pittsburgh, PA. Prior to joining WhizBang, he was a Research Scientist and Research Coordinator at Just Research (Justsystem Pittsburgh Research Center), where he spearheaded the development of technology for statistical text processing. In 1996, he was a post-doctoral fellow at Carnegie Mellon University.
As executive director, Tom is responsible for building, developing, and managing the full range of research, educational and operational activities of the Center for Data Science. As the center’s senior data scientist, Tom leads the applied data science work undertaken by the Center for Data Science. Together with industry, nonprofit, and campus partners, he identifies and scopes data science problems and develops appropriate solutions. Tom draws on our faculty’s expertise, and manages a team of full time data scientists and graduate students in order to solve the data science challenges faced by researchers across the university as well as our partner organizations. He has spent time in both academia and industry. Before joining CDS, Tom was a data scientist in the fintech space in New York City. He holds a B.S. from New York University’s Stern School of Business, and a Ph.D. in economics from UMass.