Yuke Zhang
Advised by Professor Aguêmon Yves Atchadé, Yuke is generally interested in statistics foundations of deep learning under the Bayesian perspective. Specifically, Yuke is focusing on online learning on high-dimensional sparse spatio-temporal data, with emphasis on algorithms like Thompson Sampling. Research focus: Statistics foundations of deep learning
Thodoris Tsilivis
Thodoris is a PhD candidate in the Faculty of Computing and Data Sciences at Boston University, working with professor Kira Goldner. Prior to coming to BU, he received his joint BSc and MSc in Electrical and Computer Engineering at the National Technical University of Athens. Thodoris is broadly interested in anything related to computer science […]
Yi Liu
Yi (Eva) Liu started as a PhD student in Computing & Data Sciences at Boston University in Fall 2023. Prior to joining BU, she received her M.S. in Data Analytics from University of Southern California. Her research interests include extracting customer psychology and behavioral patterns via applying large language model and NLP models, and exploring […]
Sungjoon Park
Sungjoon Park’s research lies at the intersection of deep learning, uncertainty quantification, and extreme value analysis. His work focuses on enhancing both predictive accuracy and reliability, especially for rare but high-impact events in complex systems. As part of this research, he is applying these methods to develop weather forecasting models for the West African region […]
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 is interested in using computation and the complex system perspective to understand how to better manage multi-agent, or socio-economic, systems. He is working with Marshall Van Alystyne, Xuezhou Zhang, and Francisco Marmolejo-Cossío to investigate simple economic mechanisms to improve equilibrium behaviors in partially-observed stochastic games with imperfect incentive alignments. Tejovan began his PhD studies […]
Zhengyang Shan
Zhengyang Shan is a PhD student in Computing & Data Sciences at Boston University. She studies fairness, interpretability, and evaluation of large language models, focusing on how demographic attributes are represented and their potential misuse. Research focus: Computational social science
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 Institute 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 […]