… to my website. I am an Assistant Professor of Statistics at the University of Bonn.

My research interests focus on functional data analysis, semi- and nonparametric statistics, longitudinal data analysis, mathematical and computational statistics. I pursue an application oriented research approach focusing on actual real data problems that are both statistically interesting and practically relevant.

Starting points of my past and current research are data challenges in empirical economics, energy economics, finance, e-commerce (e.g., Google AdWords data), and bioscience (e.g., human movement data). I am committed to providing the computational implementations of my statistical research and publish R-packages at CRAN and GitHub accompanying my research papers.



Statistical Methods

Statistical Applications

  • Hollander, K., Liebl, D., Willwacher, S., Meining, S., Mattes, K. and Zech, A. (2019). Adaptation of running biomechanics to repeated barefoot running: A randomized controlled study. The American Journal of Sports Medicine (in press)

  • Pataky, T. C., Vanrenterghem, J., Robinson, M. A., Liebl, D. (2019). On the validity of statistical parametric mapping for nonuniformly and heterogeneously smooth one-dimensional biomechanical data. Journal of Biomechanics (accepted)

  • Hamacher, D., Liebl, D., Hödl, C., Heßler, V., Kniewasser, C. K., Thönnessen, T. and Zech, A. (2019). Gait stability and its influencing factors in older adults. Frontiers in Physiology, 9.

  • Zech, A., Meining, S., Hötting, K., Liebl, D., Mattes, K. and Hollander, K. (2018). Effects of barefoot and footwear conditions on learning of a dynamic balance task: A randomized controlled study. European Journal of Applied Physiology, 118(12), 2699-2706.

  • Liebl, D., Willwacher, S., Hamill, J. and Brüggemann, G. P. (2014). Ankle plantarflexion strength in rearfoot and forefoot runners: A novel clusteranalytic approach. Human Movement Science, 35, 104-125 preprint

  • Liebl, D., Mosler, K., and Willwacher, S. (2012). Robust clustering of joint moment curves. 9. Symposium der Sektion Sportinformatik der Deutschen Vereinigung für Sportwissenschaft. Edited by: Byshko, R., Dahmen, T., Gratkowski, M., Gruber, M., Quintana, J., Saupe, D., Vieten, M., Woll, A., pp. 68-73

Submitted Working Papers

Work in Progress

  • Take off your shoes! Analyzing the foot strike behavior of habitual shod runners when running barefoot (with Willwacher, S., Hamill, J., and Brüggemann, G. P.)

  • A subsampled penalty criterion to estimate the number of non-vanishing common factors in large panels (with Bada, O.)

  • On the minor role of bandwidth selection when smoothing sparse to dense functional data

  • Observe the unobservable: Firm value and firm-specific heterogeneity in time trends (with Gider, J.)

  • Life-cycle wage trajectories with missing data: A factor analytic approach (with Pinger, P.)

Recent & Upcoming Talks

  • Workshop on Functional Data Analysis and Beyond, Dec. 3-14, 2018, Creswick Melbourne, Australia (invited by Aurore Delaigle, Debashis Paul, and Frédéric Ferraty).

  • 11th International Conference on Computational and Methodological Statistics (CMStatistics 2018), Dec. 14-16, 2018, University of Pisa, Italy (invited by Gil González Rodríguez)

  • CRoNoS & MDA 2019, 2nd Workshop on Multivariate Data and Software, Apr. 14-16, 2019, Limassol, Cyprus (invited by Alessandra Menafoglio)

  • 3rd International Workshop on Advances in Functional Data Analysis, May 23-24, 2019, Castro Urdiales, Spain (invited by Paula Navarro)

  • Workshop on New Developments in Econometrics and Time Series, June 6-7, 2019, Graz, Austria (invited by H. Dette, M. Hallin and S. Hörmann)

  • European Meeting of Statisticians (EMS 2019), Jul. 22-26, 2019, Palermo, Italy (invited by Laura Sangalli)

  • 10th International Workshop on Simulation and Statistics, Sept. 2-6, 2019, Salzburg, Austria (invited by Siegfried Hörmann)

  • 12th International Conference on Computational and Methodological Statistics (CMStatistics 2019), Dec. 14-16, 2019, London, UK (invited by Alexander Aue)

  • 5th International Workshop on Functional and Operatorial Statistics (IWFOS 2020), Jun. 24-27, 2020, Brno, Czech Republic (invited by Philippe Vieu, Germán Aneiros, Ivana Horová, and Marie Hušková)

Teaching Portfolio

Excerpt of past and current courses:


Journal of the American Statistical Association (JASA), The Annals of Applied Statistics (AOAS), Journal of Time Series Analysis (JTSA), Computational Statistics & Data Analysis (CSDA), Journal of the Royal Statistical Society: Series B (JRSSB), Statistical Modeling: An International Journal (SMIJ), Advances in Statistical Analysis (AStA), Journal of Sport and Health Science (JSHS), Journal of Applied Statistics (JAS), Energy Economics (ENEECO), Journal of Statistical Planning and Inference (JSPI), Journal of Multivariate Analysis (JMVA), Statistica Sinica (SS)


  • Together with my co-author Oualid Bada, I am the creator and maintainer of the R-package phtt. The package provides estimation procedures for panel data with general forms of unobservable heterogeneous effects.

  • R-package FunRegPoI

  • R-package PartiallyFD

  • R-package ReconstPoFD

  • R-package fdapoi

Institutions & Affiliations

University of Bonn.

Hausdorff Center for Mathematics.

German Sport University Cologne.


  • My former life took (mostly) place in dojos, where I used to wear a judogi.