Scholar
Erik-Jan van Kesteren
Google Scholar ID: Tf1MiRMAAAAJ
Assistant Professor Data Science & Statistics, Utrecht University
Citations & Impact
Citations
2,126
H-index
10
i10-index
10
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- No specific mentions of publications, awards, or other academic achievements.
Research Experience
- His work covers a broad range of topics in statistics and computation, including but not limited to: structural equation modeling, regularization & penalization, Bayesian statistics, multilevel generalized linear models, geospatial data analysis, visualization, optimization, federated learning, privacy, fairness, measurement, synthetic data, and causal inference.
Education
- During his PhD, he investigated how to extend structural equation models for modern data problems. As part of his PhD, he visited Rogier Kievit's lab in Cambridge. He was also a part-time software developer at JASP.
Background
- Assistant Professor in the Human Data Science group at the Methodology and Statistics department of Utrecht University. Team lead of the ODISSEI Social Data Science team, working on several projects in the domain of computational social science. Particularly interested in propagating uncertainty in data analysis pipelines.
Miscellany
- Interests include statistics and programming-related things such as Explained Visually, distill journal, grug brained developer, INFOMDA2 course materials, Andrew Gelman, Stan, JASP, UU M&S department compute server, Social Data Science team.
Co-authors