Maximilian S. Ernst

Maximilian S. Ernst

Doctoral Candidate

 

Academic education

since 2023Doctoral candidate, Max Planck School of Cognition, Leipzig, Germany
Lab rotations in the orientation phase: Klaus-Robert Müller and Ulman Lindenberger
since 2019Bachelor of Science in Mathematics, Humboldt-Universität zu Berlin, Germany
2019–2022Master of Science in Psychology, Humboldt-Universität zu Berlin, Germany
2016–2020Bachelor of Science in Psychology, Humboldt-Universität zu Berlin, Germany

 

Academic award

2023Jürgen-Rost-Preis for Master's theses in the field of psychological methodology, German Psychological Society (DGPs)

 

Publications

Brandmaier, A. M., Ernst, M. S., & Peikert, A. (in press). Assessing rigor and impact of research software for hiring and promotion in psychology: A comment on Gärtner et al. (2022). Meta-Psychology.

Ernst, M. S., Peikert, A., Brandmaier, A. M., & Rosseel, Y. (2023). A note on the connection between trek rules and separable nonlinear least squares in linear structural equation models. Psychometrika, 88, 98–116. https://doi.org/10.1007/s11336-022-09891-5

Friemelt, B., Bloszies, C., Brandmaier, A. M., Ernst, M. S., Peikert, A., Brandmeier, A. M., & Koch, T. (2023). On the performance of different regularization methods in bifactor-(S-1) models with explanatory variables – Caveats, recommendations, and future directions. Structural Equation Modeling, 30(4), 560–573. https://doi.org/10.1080/10705511.2022.2140664

 

Talks

Ernst, M. S. (2023, July). Regularized SEM with StructuralEquationModels.jl. 10th European Congress of Methodology, Ghent University, Belgium.

Ernst, M. S. (2022, September). StructuralEquationModels.jl – A fast and flexible SEM framework. 52nd Congress of the German Psychological Society (DGPs), Hildesheim, Germany.

Ernst, M. S. (2022, May). Writing extensible software for researchers. “Future Opportunities for Software in Research”, Max Planck Institute for Evolutionary Biology, Plön, Germany.

 

Software

Ernst, M. S., & Peikert, A. (2022). StructuralEquationModels.jl. https://doi.org/10.5281/zenodo.6719626

 

Organization of workshops

Ernst, M. S. (2023, November). A fresh approach to scientific computing. Max Planck Institute for Human Development, Berlin, Germany.

Ernst, M. S. (2023, September). A fresh approach to scientific computing. Open Science Center – Ludwig-Maximilians-Universität München, Germany.

Ernst, M. S. (2023, May). A fresh approach to scientific computing. Max Planck UCL Centre for Computational Psychiatry and Ageing Research – University College London, UK.

 

Further websites: Github, Orcid and Max Planck Institute for Human Development, Berlin, Germany

 

Photo: Nikolaus Brade

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