Sungjoon Park
Sungjoon Park’s academic journey began with a foundation in econometrics at Seoul National University, followed by a five-year professional career as an economist. This experience kindled his ambition to fuse data science methods with economic insights. Pursuing a MS in Data Science at the University at Buffalo, he honed his focus on the transformative potential […]
Xinyi Hu
Xinyi Hu is interested in algorithms and sequential decision-making, particularly bandit problems and efficient exploration in reinforcement learning. Previously, she earned her bachelor’s degree in Applied Mathematics and Psychology from Tufts University. Research focus: Algorithmic and statistical modeling, machine learning
Freddy Reiber
Freddy Reiber is a first-year PhD student in CDS, currently working in the intersection between Theoretical Computer Science and Economics. Freddy’s main research interests include Mechanism Design, Cooperative Game Theory, and Combinatorial Markets. He also is exploring work in Algorithmic Combinatorial Game Theory work and Computer Science Education. In his spare time, Freddy authors blog […]
Tejovan Parker
Tejovan Parker studied Mechanical and Global Engineering at the University of Colorado Boulder. He is interested in better management of social, political, and economic systems through mathematical and algorithmic methods. Tejovan began his PhD studies at BU in Fall 2022. In his first two years at CDS, he is building his expertise and looking to […]
Zhengyang Shan
Zhengyang Shan is a first year PhD student in the Faculty of Computing and Data Sciences at Boston University. Her interests are primarily in the field of machine learning and natural language processing. Zhengyang is especially interested in the application of these fields regarding the influence of social media, online news outlets, and network data. […]
Gaurav Koley
Gaurav Koley is interested in Computational Economics and Social Network Analysis. He earned his Master’s degree in Computer Science from the International Insititute of Information Technology (IIIT), Bangalore. Previously, he worked at Microsoft R&D India where he used performance engineer products for the Dynamics 365 team. In his free time, Gaurav works on Gratia with […]
Lingyi Xu
Lingyi Xu is a Ph.D. student in the Faculty of Computing & Data Sciences at Boston University. She is currently working with Professor Vijaya B. Kolachalama on computation-assisted methods that help with cancer diagnosis and treatment. Her research focuses on graph representation learning, especially in clinical settings, to improve diagnostic accuracy, efficiency, and interpretability. Learn […]
Andrew Roberts
Andrew Roberts is a PhD student in Computing and Data Sciences at Boston University, working with Professor Jonathan Huggins and Professor Michael Dietze. He is broadly interested in scientific machine learning, Bayesian modeling, and uncertainty quantification, with the goal of developing new methodologies for environmental and ecological applications. Andrew’s current work focuses on developing statistical […]
Gabe Maayan
Gabe Maayan is a PhD student at Boston University’s Faculty of Computing and Data Sciences. Previously, he worked on a variety of projects at the MITRE Corporation and received his Bachelor of Science in Computer Science at Rensselaer Polytechnic Institute. His research interests are in Complexity Science, Complex Systems Analysis and Modeling, and Agent-Based Modeling. […]
Kevin Quinn
Kevin is a PhD candidate in Computing and Data Sciences at Boston University. He is currently working with Evimaria Terzi and Mark Crovella to discover new ways of using data to understand structure and dynamics in the spread of Covid-19. Kevin is interested in using statistical and computational methods to bring understanding to complex processes […]