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 […]
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, 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 exploring the technical foundations of AI systems, including large language models and interpretable neural […]
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
Jolan von Plutzner
Jolan von Plutzner is an incoming PhD student studying in the Barnes Lab at Boston University’s Faculty of Computing and Data Sciences. Her research focuses on the development of machine learning methods to explore predictability of the earth system on subseasonal-to-seasonal timescales. She received a BS in Mechanical Engineering from Duke University and Master of […]
Micah Benson
Micah studies the societal impacts of large language models (LLMs) as a PhD Student at Boston University’s Faculty of Computing & Data Sciences. He uses interpretability methods to investigate how LLMs represent social concepts such as identity and politics, with the goal of developing techniques to improve model fairness. He also conducts audits that simulate […]
Anshuman Senapati
Anshuman Senapati is a PhD student at Boston University’s Faculty of Computing and Data Sciences. He received his Master’s degree in Computer Sciences from the University of Wisconsin-Madison. His research broadly focuses on developing machine learning algorithms for sequential decision-making and optimal control. Research focus: Reinforcement Learning
Brandon Wolf
Brandon Wolf is a PhD student in Computing and Data Sciences at Boston University, working with Professor Elizabeth Barnes. He received his Bachelor of Science in Data Science from the University of Wisconsin-Madison. His research interests are in machine learning, AI emulators, and explainable artificial intelligence. Research focus: Subseasonal forecasting