- "Optical Coherence Tomography Harmonization with Anatomy-Guided Latent Metric Schrödinger Bridges" accepted for publication at Neurips 2025.
- "Prediction-powered Inference for Clinical Trials" published in BMC Medical Research Methodology.
- "MOCK: An Algorithm for Learning Nonparametric Differential Equations via Multivariate Occupation Kernel Functions" published in Transactions of Machine Learning Research.
- "Predictive Powered Inference for Healthcare; Relating Optical Coherence Tomography Scans to Multiple Sclerosis Disease Progression." available in the Proceedings of the 9th Machine Learning for Healthcare Conference.
- "Prediction-powered Inference for Clinical Trials" available at medRxiv.
Research Experience
Teaching: 2024-25: Statistical Learning I, II and III (STAT 671/2/3), 23-24: Intro to Statistical Learning (STAT 387), and Statistical Consulting (STAT 570). On sabbatical leave during the academic year 2021-22. Visiting professor in the Applied Mathematics & Statistics department at Johns Hopkins University during the fall term of 2021. Visiting professor at ICM (Paris Brain Institute) during May and June 2022. Visiting professor at UPenn with Christos Davatsikos during Fall 2023.
Education
Received his doctorate in Applied Mathematics and Statistics from Université Paris Sud in January 1995. Spent a year as a post-doc in the Department of Statistics at the University of Chicago. Was then appointed as an assistant professor at Université des Sciences et Technologies de Lille. From 2003 to 2015, he was a faculty member of the Department of Applied Mathematics and Statistics at Johns Hopkins University. In 2015, he moved to the Fariborz Maseeh Department of Mathematics and Statistics at Portland State University in Oregon where he is currently appointed as a Maseeh Professor in Mathematical Sciences.
Background
Research interests: Machine learning, Statistical learning, Statistical modeling, Stochastic search. Applications in computer vision, medical image processing, natural language processing, bioinformatics, and computational neurosciences.