Kevin Chan
Kevin Chan is a Ph.D. candidate advised by Professor Elizabeth Barnes in Boston University’s Faculty of Computing and Data Sciences. His research focuses on machine learning-based climate and weather models, with particular interest in how they learn, how their performance can improve, and how they can be operationalized. He holds a B.S. in Statistics & […]
Maxwell Barlow
Maxwell Barlow is a first-year PhD student in Boston University’s Faculty of Computing and Data Sciences whose work focuses on social computing, computational linguistics, and representations. Prior to their doctoral studies, Maxwell worked as a software engineer at MAPFRE Insurance and earned a Bachelor of Science in Computer Science from Florida Southern College. Learn more […]
Yan Lashchev
Yan Lashchev is a first-year PhD student in Boston University’s Computing and Data sciences working at the intersection of mechanistic interpretability, language understanding, and processing. He earned his Bachelor of Science degree from University of California, Santa Barbara (UCSB), double majoring in Applied Mathematics and Statistics & Data Science. Before starting his doctoral studies, Yan […]
Elizabeth (Libby) Rosen
Elizabeth (Libby) Rosen is a PhD student at Boston University’s Faculty of Computing and Data Sciences, working with Brian Cleary. Previously, she got her Bachelor’s of Science in Data Science from BU. Her research focuses on computational biology, specifically using statistical methods to understand growth and development in plants. Research focus: Deep Uncertainty Quantification Domain […]
Devin McAfee
Devin is a Ph.D. student in the Faculty of Computing and Data Sciences at Boston University, advised by Dr. Elizabeth Barnes. At work, Devin is interested in deep learning for trustworthy prediction of weather and climate. Outside of work, Devin loves hiking, fishing, and powerlifting. Research focus: Deep Uncertainty Quantification Domain Adaptation Weather and Climate […]
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 […]