Richard Lange

Richard Lange is an Assistant Professor in the Department of Computer Science at the Golisano College of Computing and Information Sciences, Rochester Institute of Technology (RIT). He also holds an adjunct position at the Center for Visual Science. His research focuses on Bayesian methods, neural coding, and data science applications. Lange teaches graduate-level courses such as CSCI-631 Foundations of Computer Vision, emphasizing image analysis, segmentation, and object detection.

Recent work includes a keynote presentation at the AIMS Rwanda workshop on stochastic mixtures in inference (2024) and a Nature Neuroscience paper exploring Bayesian perspectives in neural coding (2023). His interdisciplinary approach bridges computational neuroscience and machine learning, reflecting RIT's emphasis on applied research.

No scientific awards explicitly mentioned in the provided materials. Advising and grants details are currently unavailable. He is actively involved in the Center for Visual Science's research initiatives, though specific lab affiliations or teams are not detailed here.