Tyler Calabrese
Tyler is a PhD student at Boston University’s Faculty of Computing and Data Sciences, advised by Dr. Allison McDonald. His research interests include usable privacy and digital safety, particularly in the context of state and workplace surveillance. Previously, he worked as a software developer at Strike Technologies after earning his BA in computer science and […]
Jacob Epstein
Jacob Epstein is a 1st-year PhD student at Boston University’s Faculty of Computing and Data Sciences. As an undergraduate, he worked on multiple projects applying machine learning techniques to data analysis problems in environmental science, and received a Bachelor of Science in Computer Science and Mathematics at the University of Massachusetts Amherst. His current research […]
Lingxiao Li
Lingxiao Li is a PhD student in Computing & Data Sciences at Boston University. His research focuses on building machine learning systems with strong generalization under minimal supervision, spanning generative models, self-supervised learning, multi-modal learning, and representation learning. He holds a bachelor’s degree in Computer Science from the University of Liverpool and a master’s degree […]
Vlad Munteanu
Vlad Munteanu is a first year PhD student in CDS advised by Prof. Elizabeth Barnes and is interested in applications of data science and machine learning to answer complex questions about climate dynamics and extremes. He has conducted research on the response of atmospheric rivers to warming in climate simulations of the U.S. West Coast […]
Annabel Wade
Annabel Wade is a PhD student at Boston University’s Faculty of Computing and Data Sciences, working with Professor Elizabeth Barnes. She works on interpretable deep learning for weather and climate by examining training dynamics and revealing how emulators learn physics. Previously, she worked on deep ensembles for wildfire smoke detection at the National Oceanic and […]
Yuqi Tu
Yuqi Tu is an incoming PhD student at Boston University’s Faculty of Computing & Data Sciences. She recently received her B.A. in Mathematics and Computer Sciences from the University of Wisconsin–Madison. Her academic interests lie at the intersection of statistics and machine learning. Learn more about Yuqi Research focus: Machine Learning Theory High-Dimensional Statistics
Jacob Landsberg
Originally from Southern California, Jacob has since moved across the U.S.—attending Haverford College in Pennsylvania, working for a healthcare software company in Wisconsin, and completing an M.S. in atmospheric science in Colorado. Now based in Boston, he aims to continue working at the intersection of machine learning and climate science. Outside of work, Jacob enjoys […]
Aida Afshar
Aida Afshar is a PhD student at Boston University’s Faculty of Computing and Data Sciences. Previously, she received her bachelor’s degree in Mathematics with a minor in Computer Science from Sharif University of Technology. Her primary research interests are Sequential Decision-Making and Statistical Foundations of Continual Learning. Learn more about Aida Research focus: Sequential Decision-Making
Yan (Stella) Si
Yan (Stella) Si is a PhD student at Boston University’s Faculty of Computing & Data Sciences working with Dr. Joshua Peterson, where she researches at the intersection of cognitive science and AI. Her work focuses on human decision making—building large-scale decision-making datasets, developing computational models, and automating the discovery of psychology theory with LLMs. She […]
Yichen Song
Yichen is a Ph.D. student at CDS, advised by Prof. Aldo Pacchiano. His research focuses on Sequential Decision Making, particularly in the areas of Reinforcement Learning and Bandits. Previously, he got his master’s degree from the Robotics Department at the University of Michigan. Learn more about Yichen Research focus: Reinforcement Learning Bandits Machine Learning