Taishan Chen
Taishan Chen is a PhD candidate at Boston University’s Faculty of Computing and Data Sciences. Prior to that, he obtained a Master’s degree in Computer Science at Boston University, and also worked on developing concurrent graph processing systems. His experience lies in large-scale data analysis, graph systems and algorithms, and he is interested in developing […]
Wanli Cheng
Wanli Cheng is a Ph.D. candidate in Computing & Data Sciences at Boston University. His research spans quantum information and quantum computing, AI safety, and AI for Science, with current work focusing on quantum error-correcting codes inspired by quantum gravity and quantum many-body physics, the robustness of AI systems, and AI-assisted scientific discovery. He received […]
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 Extreme Value Theory and Deep Learning, with an emerging interest in Scientific Machine Learning (SciML). He is currently developing calibration models for weather forecasts under the supervision of Professor Aguêmon Yves Atchadé. His work aims to improve both predictive accuracy and statistical fidelity for rare but high-impact […]
Xinyi Hu
Xinyi Hu is a Ph.D. student in Computing & Data Sciences at Boston University. Her research focuses on machine learning, reinforcement learning, multi-agent systems, and sequential decision-making, with particular interests in bandit problems and efficient exploration. She applies these methods to challenges in sustainability, healthcare, and scientific discovery. She earned her bachelor’s degree in Applied […]
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. Her research focuses on the safety, evaluation, and interpretability of large language models, with an emphasis on understanding model behavior and improving the reliability of agentic AI systems. Research focus: AI Safety Interpretability