Please register for the CV & Online Identity Workshop below.

Join us for the first workshop in the NetSI PhD Professional Development Series! This workshop "CV & Online Identity", will cover:

• Content
• Design
• Resources
• Discussion

The second session on Thursday, May 20 will focus on both your CV and website and is open to all NetSI members. A schedule of the workshop is below.

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Schedule

10:00–10:05 |  Introduction , Evelyn Panagakou
10:05–11:00  |  Development Tools, Stefan McCabe & Tim LaRock
11:00–11:30  |  Discipline-specific advice, Brooke Foucault Welles & Tina Eliassi-Rad
11:30–12:30  |  Panel: Critique & Discuss, Kate Coronges, Brooke Foucault Welles,
                      Tina Eliassi-Rad, Nicole Samay & Alexis Boyer

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About the speakers

Tina Eliassi-Rad

Tina Eliassi-Rad is a Professor of Computer Science at Northeastern University in Boston, MA. She is also a core faculty member at Northeastern's Network Science 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 100 peer-reviewed publications (including a few best paper and best paper runner-up awardees); 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 the government and industry (e.g., IBM System G Graph Analytics) as well as open-source software (e.g., Stanford Network Analysis Project). In 2017, Tina served as the program co-chair for the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (a.k.a. KDD, which is the premier conference on data mining) and as the program co-chair for the International Conference on Network Science (a.k.a. NetSci, which is the premier conference on network science). In 2020, she served as the program co-chair for the International Conference on Computational Social Science (a.k.a. IC2S2, which is the premier conference on computational social science). 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. She joined the Inaugural External Faculty at the Vermont Complex Systems Center in 2021.

‍Brooke Foucault Welles

Brooke Foucault Welles is an Associate Professor and interim chair of the department of Communication Studies, core faculty of the Network Science Institute, and director of the Communication Media and Marginalization (CoMM) Lab at Northeastern University. Combining the methods of network science with theories from the social sciences, Foucault Welles studies how online communication networks enable and constrain behavior, with particular emphasis on how these networks mitigate or increase the harms of marginalization. Her work is interdisciplinary and collaborative, with co-authors from computer science, political science, digital humanities, design, and public health. She is the co-author of #HashtagActivism: Networks of Race and Gender Justice and co-editor of the Oxford Handbook of Networked Communication.

Tim LaRock‍

Tim is a fifth-year doctoral student advised by Professor Tina Eliassi-Rad. His work falls at the intersection of network science, data mining and machine learning. In particular, Tim’s research seeks to identify and understand sequential patterns and dependencies in network data, such as passenger movement through public transit systems, goods through logistics networks, or users navigating the Web. He also develops machine learning methods for improving partially observed network data through API querying. Prior to joining the Institute in 2016, Tim completed a B.S. in Computer Science and Applied Mathematics with a minor in Philosophy at the State University of New York at Albany, where he conducted research on load balancing in cellular networks and unsupervised transmitter detection in wireless frequency spectrum data, under the supervision of Professor Petko Bogdanov and Professor Mariya Zheleva.

‍Stefan McCabe

I am a doctoral student at Northeastern University’s Network Science Institute, advised by David Lazer. My research focuses on developing methods for accurately measuring and describing online social behaviors. Before joining Northeastern, I was a graduate student at George Mason University’s Department of Computational Social Science, where I was advised by Rob Axtell and completed a master’s thesis on agent-based modeling methodologies. In Summer 2020, I was a research intern at Microsoft Research, working with David Rothschild.