Nick Duffield is the new director of the Texas A&M Institute of Data Science.
By Office of Research Communications and Public Relations
Nick Duffield, professor in the Department of Electrical and Computer Engineering, College of Engineering at Texas A&M University, is the new director of the Texas A&M Institute of Data Science (TAMIDS), the Division of Research announced today.
“Texas A&M’s choice to prioritize data science by creating TAMIDS presents a tremendous opportunity to build a groundbreaking and innovative environment,” Vice President for Research Mark A. Barteau said. “Texas A&M is preeminent in fields where data science is poised to have an enormous impact. As director of TAMIDS, Dr. Duffield brings outstanding credentials from a career spanning academia and industry, with a skill set combining technological leadership, scientific achievement, interdisciplinary collaboration, commercial impact, community building, and education. Texas A&M is committed to supporting the development of TAMIDS, under Dr. Duffield’s vision and leadership, to catalyze our growth in data science, and establish a distinctive position in the data science ecosystem that builds on Texas A&M’s unique strengths.”
Before joining Texas A&M in 2014, Duffield was a Distinguished Member of Technical Staff and AT&T Fellow at AT&T Labs Research in Florham Park, N.J. He received his doctorate in physics from the University of London. He held academic positions in Europe before joining AT&T in 1995.
Duffield is an author or co-author on more than 160 publications in the areas of data science and computer networking. He holds 54 U.S. patents and his work has been implemented in Internet systems, services and standards. His current research involves algorithms for data streaming and machine learning, computer-network measurement and resilience, and applications of data science to transportation, agriculture and hydrology. Duffield’s work at Texas A&M has received support from the National Science Foundation, DARPA, Google and Intel. He is a fellow of IEEE as well as the Institution of Engineering and Technology, and has twice received the Association for Computing Machinery (ACM) SIGMETRICS Test-of-Time award. He is an elected member of the governing board of ACM SIGMETRICS.
The Texas A&M Institute of Data Science pursues and supports new approaches of multi-disciplinary data science research, education and external partnerships. These approaches cross departmental and college boundaries to address all facets of the data-science landscape that naturally connect engineering, technology, science and the humanities and inform wider policy and social challenges.
For more information on TAMIDS: tamids.tamu.edu
About Research at Texas A&M University: As one of the world’s leading research institutions, Texas A&M is at the forefront in making significant contributions to scholarship and discovery. Research conducted at Texas A&M represented annual expenditures of more than $905.4 million in fiscal year 2017. Texas A&M ranked in the top 20 of the National Science Foundation’s Higher Education Research and Development survey (2016), based on expenditures of more than $892.7 million in fiscal year 2016. Texas A&M’s research creates new knowledge that provides basic, fundamental and applied contributions resulting, in economic benefits and improved quality of life for the peoples of the state, nation and world. To learn more, visit http://research.tamu.edu.
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