Jeffrey Considine

Jeffrey Considine is an Adjunct Associate Professor in the Faculty of Computing & Data Sciences. He is responsible for designing and teaching many of the courses within the online Master’s in Data Science program, and actively participates in the overall course design. Jeffrey Considine received the Ph.D. degree in computer science from Boston University in […]

Thomas Gardos 

Thomas comes to Boston University after a 30-year career at Intel, where he worked in both research and in engineering roles. Most recently, he led a computer vision and computational photography research and development team, developing deep learning applications and  algorithm specifications for ultra-low-power computer vision chips. Previously, Thomas led Intel’s video compression technology algorithm […]

Lisa Wobbes

Lisa Wobbes is a clinical assistant professor in the Faculty of Computing & Data Sciences (CDS), which she joined in the Fall of 2023. Lisa has a background in applied mathematics and data science. She received her PhD in applied mathematics from Delft University of Technology in 2019, advised by Matthias Möller and Kees Vuik. […]

Joshua Peterson

Joshua Peterson comes to BU as a tenure-track Assistant Professor in the Faculty of Computing & Data Sciences (CDS). His work focuses on the use of large-scale datasets and machine learning to understand and predict human behavior, including decision making, face perception and stereotyping, moral judgment, and visual object classification, among others. Josh’s most notable recent […]

Xuezhou (Jack) Zhang

Xuezhou (Jack) Zhang comes to BU as a tenure-track Assistant Professor in the Faculty of Computing & Data Sciences.  Prior to joining CDS, Jack was an Associate Research Scholar affiliated with the ECE department and the Center for Statistics and Machine Learning at Princeton University working with Prof. Mengdi Wang. His research focuses on the […]

Aldo Pacchiano

Aldo Pacchiano comes to BU as an Assistant Professor in the Faculty of Computing & Data Sciences (CDS). His research lies in the areas of Reinforcement Learning, Online Learning, and Bandits and Algorithmic Fairness. Aldo is particularly interested in furthering our statistical understanding of learning phenomena in adaptive environments and use these theoretical insights and […]