UBC Statistics welcomes Charles Margossian as an Assistant Professor, beginning August 1, 2025.
Charles received his Ph.D. in Statistics from Columbia University in 2022 and brings three years of research experience as a Research Fellow at the Flatiron Institute. His research broadly focuses on Bayesian modeling and probabilistic machine learning. This work bridges theory, computation, and application through the development of probabilistic programming languages, such as Stan.
Charles has published extensively in the areas of Bayesian computation and analysis, demonstrating both depth and breadth in his scholarship. He has also had fruitful collaborations in the sciences and has published in the areas of medicine, public health, and astrophysics. In addition to his research contributions, he brings teaching experience, particularly in short-course format, and has taught tutorials at a dozen conferences and summer schools. He is also a driving force behind several open-source software packages, underscoring his commitment to building accessible and impactful tools for the broader statistical and data science community.
In a statement published on Charles' website, he shared, "It is a considerable honour to receive a professorship at UBC, and it is a position I approach with optimism, awe, and gravity."
Welcome to UBC, Charles!