Co-founder and key contributor to the Stan project, which has been supported by a strong team of developers and a supportive community of users and educators.
Research Experience
Currently a senior research scientist at the Flatiron Institute, primarily working on Stan, a probabilistic programming language and inference engine. Previously, he was a research scientist at Columbia University for ten years, where he co-founded the Stan project, designed its programming language and automatic differentiation library, answered user and developer queries, and wrote code, documentation, and research grants. Before that, he spent ten years writing production code in industry for speech recognition, search, and natural language processing. Earlier in his career, he held academic positions at Bell Labs and Carnegie Mellon University, focusing on natural language syntax, semantics, parsing, and programming language theory.
Education
Ph.D. from the University of Edinburgh in cognitive science and computer science; B.S. from Michigan State University in mathematics.
Background
Computational statistician, software developer. Research interests include computational statistics, simulation, applied statistical methodology, and applying Bayesian statistics to science.