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Tina Eliassi-Rad's Bio
Tiny Bio (< 100 words)
Tina Eliassi-Rad is the Inaugural Joseph E. Aoun Professor at Northeastern University. She is also an external faculty member at the Santa Fe Institute and the Vermont Complex Systems Institute. Tina works at the intersection of artificial intelligence and network science and is interested in the impact of science and technology on society. In 2023, she was awarded the Lagrange Prize and was elected Fellow of the Network Science Society.
Short Bio (< 200 words)
Tina Eliassi-Rad is the Inaugural Joseph E. Aoun Professor at Northeastern University. She is also an external faculty member at the Santa Fe Institute and the Vermont Complex Systems Institute. Prior to joining Northeastern, Tina was an Associate Professor of Computer Science at Rutgers University; and before that a member of the technical staff at Lawrence Livermore National Laboratory. She earned her Ph.D. in Computer Sciences (with a minor in Mathematical Statistics) at the University of Wisconsin-Madison. Tina works at the intersection of AI and network science and is interested in the impact of science and technology on society. Her algorithms have been integrated into systems used by governments, industry, and open-source software. Tina received an Outstanding Mentor Award from the U.S. Department of Energy's Office of Science in 2010, became an ISI Foundation Fellow in 2019, was named one of the 100 Brilliant Women in AI Ethics in 2021, received Northeastern University's Excellence in Research and Creative Activity Award in 2022, was awarded the Lagrange Prize in 2023, and was elected Fellow of the Network Science Society in 2023.
Long Bio (< 300 words)
Tina Eliassi-Rad is the Inaugural Joseph E. Aoun Professor at Northeastern University. She is also a core faculty member at Northeastern's Network Science Institute. In addition, she is an external faculty member at the Santa Fe Institute and the Vermont Complex Systems Institute. Prior to joining Northeastern, Tina was an Associate Professor of Computer Science at Rutgers University; and before that she was a member of technical staff and principal investigator at Lawrence Livermore National Laboratory. Tina earned her Ph.D. in Computer Sciences (with a minor in Mathematical Statistics) at the University of Wisconsin-Madison. Her research is at the intersection of data mining, machine learning, and network science. She has over 150 peer-reviewed publications (including a few best paper and best paper runner-up awards); and has given over 300 invited talks and 14 tutorials. Tina's work has been applied to personalized search on the World-Wide Web, statistical indices of large-scale scientific simulation data, fraud detection, mobile ad targeting, cyber situational awareness, drug discovery, democracy and online discourse, and ethics in machine learning. Her algorithms have been incorporated into systems used by governments and industry (e.g., IBM System G Graph Analytics), as well as open-source software (e.g., Stanford Network Analysis Project). Tina received an Outstanding Mentor Award from the U.S. Department of Energy's Office of Science in 2010, became an ISI Foundation Fellow in 2019, was named one of the 100 Brilliant Women in AI Ethics in 2021, received Northeastern University's Excellence in Research and Creative Activity Award in 2022, was awarded the Lagrange Prize in 2023, and was elected Fellow of the Network Science Society in 2023.
