Scholar
Reza Mohammadi
Google Scholar ID: VrO0qG0AAAAJ
University of Amsterdam
Citations & Impact
Citations
761
H-index
14
i10-index
16
Publications
20
Co-authors
58
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple articles on statistics, particularly focusing on Bayesian methods in graphical models. Involved in several open-source software projects, including R packages BDgraph, ssgraph, bmixture, and liveR.
Research Experience
- Worked as a postdoctoral researcher at the Department of Methodology and Statistics at Tilburg University and Jheronimus Academy of Data Science (JADS) during 2016-2017. Joined the Business Analytics Section of the University of Amsterdam as an Assistant Professor in November 2017.
Education
- Received Ph.D. in Statistics from the University of Groningen in 2015, with a thesis entitled: 'Bayesian Model Determination in Complex Systems'.
Background
- Assistant Professor of Statistics at the Business Analytics Section of the University of Amsterdam. As a statistician and data scientist, his research interests lie in developing efficient computational methods for inference and learning from high-dimensional multivariate data that routinely arise in econometrics, machine learning, neuroscience, and health care. His current research is focused on developing Bayesian statistical methods in graphical models for multivariate statistical analysis to understand the underlying mechanisms in complex systems.
Miscellany
- Active on social media platforms such as Google Scholar, ORCID, LinkedIn, ResearchGate, and maintains a personal Twitter account.
