Jeffrey Hastings
Jeff Hastings is a PhD student in the Faculty of Computing & Data Sciences at Boston University, advised by Dr. Joshua Peterson. He earned a BA and MA in Political Science from Utah State University, followed by an MS in Computational Social Science from the University of California, San Diego. His research applies machine learning, […]
Gavin Rees
Gavin Rees is a PhD student in Boston University’s Faculty of Computing & Data Sciences whose work combines mathematics and evolutionary biology. His research focuses on social behavior and combines approaches from theoretical biology, statistics, and evolutionary game theory to understand ecological and evolutionary dynamics of intertwined systems. His primary focus is on biological complexity, […]
Matt Shumway
Matt Shumway is a PhD student in Computing and Data Sciences at Boston University. He is broadly interested in sequential decision-making, with a focus on developing sample-efficient reinforcement learning algorithms. He received his bachelor’s degree in Applied and Computational Mathematics from Brigham Young University where he researched non-backtracking random walks on graphs. Learn more about […]
Clark Ikezu
Clark is a PhD student at Boston University’s Faculty of Computing and Data Sciences. He is broadly interested in understanding biological systems and spatiotemporal processes with statistical modeling. Previously he worked at the Mayo Clinic at Jacksonville, FL, and before that earned a Master of Science in Bioengineering from Stanford University and a Bachelor of […]
Phillip Angelos
Phillip Angelos is a PhD student in the Faculty of Computing and Data Sciences at Boston University, advised by Dr. Joshua Peterson. He earned a Bachelor of Science in Psychology from Michigan State University and spent two years at Yale University researching positive symptom progression in psychosis. His research examines the intersection of artificial intelligence […]
Tyler Calabrese
Tyler Calabrese is a PhD student at Boston University’s Faculty of Computing and Data Sciences, working with Allison McDonald. Previously, he worked as a Software Developer at Strike Technologies and earned his Bachelor’s in Computer Science and English from Tufts University. His research interests include usable privacy and security, particularly in the context of police […]
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 is broadly interested in using machine learning to reveal insight about the Earth system. Previously, she worked on detecting wildfire smoke with deep learning at the National Oceanic and Atmospheric Administration, as well as […]