معرفی
Kyle Lang is an Assistant Professor in the Department of Methodology and Statistics at Utrecht University (UU), Faculty of Social and Behavioural Sciences. His academic work focuses on missing data treatment, statistical modeling, and computational methods, with teaching spanning statistics, data science, and R programming.
- Current faculty at Utrecht University since 2021
- Former faculty at Tilburg University (2018-2021)
- Postdoctoral experience at Texas Tech University
Research Interests:
- Specializing in missing data imputation and multiple imputation techniques
- Advancing statistical methods for social, behavioral, and health sciences
- Developing computational tools to simplify imputation model specification
- Expertise in high-performance computing clusters (e.g., Lisa Compute Cluster)
- Advocating for open-science principles in research dissemination
Teaching Contributions:
- Developing and teaching courses at UU: Statistical Analysis with R, Missing Data Theory, Advanced Research Methods
- Former instructor at University of Kansas (Stats Camp) and Tilburg University
- Creator of educational materials for Data Science programs
Statistical Consulting:
- Leading development team for PcAux R package at Texas Tech
- Providing statistical expertise to CDC's Dating Matters® program evaluation
- Consultancy for US Army/Human Terrain System
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