Tina Eliassi-Rad is a Professor of Computer Science at Northeastern University in Boston, Massachusetts. She is also a core faculty member at the Network Science Institute and at the Institute for Experiential AI, both at Northeastern. Before moving to New England, 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) from the University of Wisconsin-Madison. Her research is at the intersection of data mining, machine learning, and network science. She has over 100 peer-reviewed publications (including a few best paper and best paper runner-up awards); and has given over 200 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, and ethics in machine learning. Her algorithms have been incorporated into systems used by government 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 Office of Science at the US Department of Energy in 2010; became a Fellow of the ISI Foundation (in Turin Italy) in 2019; and was named one of the 100 Brilliant Women in AI Ethics for 2021.