Drexel Computer Science Theory Reading Group

Alumni


Pranav Garimidi


Pranav Garimidi joined the reading group as a rising junior in high school. Upon graduating high school, he went on to join Columbia University as a computer science major. His research has focused on the fair allocation of indivisible goods and the design of auctions. He has been a member of the reading group since the fall of 2018.



Hunter Heidenreich


Hunter Heidenreich graduated from Drexel with a major in Computer Science and a concentration in AI and Algorithms in 2021. He subsequently joined the PhD program of Harvard University. He is interested in natural language processing, reinforcement learning, and, all things optimization. During his time at Drexel, he worked for SAP Conversational AI as a data scientist and in the ExCITe Center as a STAR Researcher working with Generative Adversarial Networks (GANs). He has been a member of the reading group since the fall of 2018.



Minh Le


Minh Le graduated from Drexel University in 2021, with a degree in Computer Science and concentrations in Artificial Intelligence and Data Structures & Algorithms. Previously, she has worked with Professor Andrea Forte in the Drexel Social Computing Group doing human-computer interaction research as a STAR scholar, and under Professor John Megdalia developing web interface for testing cognitive flexibility. She has been a member of the reading group since the fall of 2019.



Daniel Schwartz


Daniel Schwartz received an accelerated B.S. and M.S. in Computer Science from Drexel in 2020 and went on to pursue a PhD under the supervision of Dr. Ali Shokoufandeh and Dr. Edward Kim. He is interested in Machine Learning, Artificial Intelligence, and optimization. He has worked with Dr. Brian Stuart implementing Adaptive Probabilistic Finite Automata, and with Dr. Bill Mongan in the Drexel Wireless Systems Lab developing an algorithm that optimizes data collected from multisensor fusion. He has been a member of the reading group since the winter of 2019.



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.



Enioluwa Segun


Enioluwa Segun graduated from Drexel University in 2020 with a degree in Computer Science, with a focus in Computing Systems, Artificial Intelligence and Data Structures & Algorithms. He subsequently joined Microsoft. He has worked as a STAR scholar under Dr. Erin Solovey, researching intelligent learning systems at the Advanced Interactions Research lab, and with Dr. Bill Mongan, researching efficient, scalable systems for data collection and processing in IoT environments. He has been a member of the theory reading group since the fall of 2019.



Lucas Vitalos


Lucas Vitalos graduated from Drexel University in 2020, with a B.S. in Computer Science and a minor in Mathematics. He is interested in discrete mathematics and artificial intelligence, and he plans to pursue work related to AI and machine learning. He has been a member of the reading group since the fall 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.



Ross Griebenow


Ross graduated from Drexel University in 2019, with a major in Computer Science and a minor in Mathematics. He is interested in information theory, machine learning, graph theory, artificial life, and the thermodynamics of computation.



Rob Ross


Rob graduated in 2019 as a CS major and math minor. While at Drexel, Rob researched graph theory as a STAR scholar, worked on signal processing algorithms with the Drexel Wireless Systems Lab’s Bellyband project, and lead a senior design team to develop a CNN capable of detecting certain types of cells in human tissue slides. Rob is a Goldwater Scholar and has presented his research at several venues. After graduating in 2019, Rob began a position as a machine learning research scientist at Riverside Research. In 2020, Rob was hired as a machine learning engineer with Amazon Web Services. In 2021, Rob began a part-time masters of software engineering degree at Carnegie Mellon University, while continuing his full-time work with AWS. When away from work or study, Rob enjoys mentoring the next generation of computer scientists through Drexel’s WiCS program and the non-profit Skype-a-Scientist.



Joe Urbano


Joe Urbano received both a bachelor's and master's degree in Computer Science through the BSMS program of Drexel University in 2019. His interests are in the applications of algorithms and AI, specifically in the areas of machine learning and computer vision. In addition to serving as a teaching assistant for the College of Computing and Informatics, he has most recently worked for Bentley Systems, where he contributed to a cloud-based 3D-model synchronization application.



Craig Carr


Craig Carr received a B.S. in Software Engineering from Drexel University, with minors in Mathematics and Economics in 2018. After graduating, he joined OSIsoft as a software developer, where he works on building software infrastructure for industrial IoT applications. As a hobbyist in mathematics, he focuses on applications of algorithms to network protocols and distributed computing.