Drexel EconCS Research Group

The Drexel Economics and Computation (EconCS) research group focused on problems at the intersection of Economics and Computer Science.

Members


Vasilis Gkatzelis


Vasilis Gkatzelis is an assistant professor in computer science at Drexel University. He previously held positions as a postdoctoral scholar at the computer science departments of UC Berkeley and Stanford University, and as a research fellow at the Simons Institute for the Theory of Computing. He received his PhD from the Courant Institute of New York University and his research focuses on problems in algorithmic game theory and approximation algorithms.



Manolis Pountourakis


Manolis Pountourakis is an assistant professor in computer science at Drexel University. He previously held positions as a postdoctoral fellow at the electrical and computer engineering department at the University of Texas at Austin and as a research fellow at the Simons Institute for the Theory of Computing. He received his PhD from Northwestern University in 2017 and was a long-term visitor at Microsoft Research New England from 2014 to 2016. His research focuses on algorithmic game theory, algorithmic mechanism design, and approximation algorithms.



Shahin Jabbari


Shahin Jabbari is an assistant professor in the Computer Science Department of the College of Computing & Informatics at Drexel University. Before Drexel, Shahin was a CRCS postdoctoral fellow in the Computer Science Department of the School of Engineering and Applied Sciences at Harvard and a PhD student in the Computer and Information Science Department at University of Pennsylvania. Shahin's research interests include algorithmic fairness, machine learning and game theory.



Dan Schoepflin


Daniel Schoepflin is a PhD student at Drexel University, where he is advised by Vasilis Gkatzelis. His research focuses on algorithmic game theory and combinatorial optimization. In particular, he is interested in multi-agent resource allocation problems. He received a B.S. in Electrical Engineering and a B.S. in Computer Engineering from Drexel University.



Jeromy Guinther


Jeromy Guinther is a PhD student at Drexel University, where he is advised by Vasilis Gkatzelis. An active duty Air Force officer, he is currently stationed at Misawa Air Base in northern Japan. Jeromy’s interests include complexity theory, approximation algorithms, and games. He is currently working on applying hardness of approximation to problems in algorithmic game theory and multi-agent resource allocation. He graduated from the United States Air Force Academy in 2002, and most recently received his Masters Degree in Computer Science from Drexel in 2017.



Xizhi Tan


Xizhi Tan is a PhD student at Drexel University advised by Vasilis Gkatzelis. She received her degree in mathematics from Drexel, where she worked with Prof. Thomas Yu in nonlinear optimization that discusses some fundamental geometric properties of various gradient descent algorithms and Newton’s methods, and with Prof. Gideon Simpson in implementing methods for numerical integration of stochastic differential equations. She hopes to explore more in the theoretical computation and scientific computation field.



Marius Garbea


Marius Garbea is a PhD student at Drexel. He previously graduated from Drexel in 2021, with a double major in Computer Science and Mathematics. He is from Romania and came to Drexel after focusing on computer science in general and data structures and algorithms in particular during high school. He is interested in algorithms that span the blockchain space, such as decentralization, cryptography, consensus in networks, and game theory. He has been a member of the reading group since the fall of 2018.



Rishi Patel


Rishi Patel is a PhD student at Drexel. He previously graduated from Drexel in 2021, with a double major in Computer Science and Mathematics. His interests include the applications of mathematics to computer science. He has previously researched type systems and he spent two terms as a research co-op conducting research in the design and analysis of ascending auctions. He has also previously worked as a software engineer for Lockheed Martin. He has been a member of the reading group since the fall of 2018.



Nick DeFilippis


Nick DeFilippis is senior at Drexel, pursuing a double major in Mathematics and Computer Science and a minor in Astrophysics. His interests are in using mathematics and computer science to develop solutions to real-world problems. He has previously conducted research involving the interaction of planetary systems with stellar bodies, and he currently works in the Data Normalization and Adaptation group at Susquehanna International Group. He has been a member of the reading group since the winter of 2019.



Pranav Garimidi


Pranav Garimidi is a sophomore at Columbia University, pursuing a degree in Computer Science. He joined the reading group as a junior in high school. His research project during high school focused on the fair allocation of indivisible goods, and led to a AAAI submission. He has been a member of the reading group since the fall of 2018.





Alumni


Safa Aman


Safa Aman graduated from Drexel University in 2020, with a B.S and M.S in Computer Science, and with a minor in Economics. She subsequently joined Google. Her interests include human-computer interaction, artificial intelligence, and algorithms. Safa has previously worked with Dr. Erin Solovey’s Advanced Interaction Research Group as a STAR Scholar. At Drexel, she is an active Student Ambassador and has been the President of the Women in Computing Society for 2 years. She has been a member of the reading group since the winter of 2019.



Bailey Flanigan


Bailey Flanigan was a visiting researcher at Drexel University during the 2018-19 academic year. She then joined computer science PhD program at Carnegie Mellon University. She is interested in questions at the intersection of computational game theory and networks. Prior to Drexel, she was a pre-doctoral fellow at the Yale Department of Economics. She received her B.S. in Biomedical Engineering from the University of Wisconsin.



Curtis Bechtel


Curtis Bechtel graduated from Drexel University in 2019 with a B.S. in Mathematics and a B.S. in Computer Science. After graduation, he entered a PhD program at the University of Southern California. He is interested broadly in theoretical computer science with a focus on algorithms, graph theory, and algorithmic game theory. He previously worked as a software developer for the Geophysical Fluid Dynamics Laboratory in Princeton, New Jersey, where he helped develop a large-scale parallel data analysis system.