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<title>Dominik Liebl</title>
<meta name="description" content="Dominik Liebl, Professor of Statistics at the Catholic University of Eichstätt-Ingolstadt. Functional data analysis, nonparametric statistics, simultaneous and causal inference.">
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<h1>Dominik Liebl</h1>
<p class="role">Professor of Statistics · KU Eichstätt-Ingolstadt</p>
<svg class="curve" viewBox="0 0 600 56" preserveAspectRatio="none" role="img" aria-label="A smooth curve with a simultaneous confidence band">
<title>A fast and fair simultaneous confidence band. Obviously.</title>
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<div class="intro">
<p>
<strong>Welcome</strong> … to my website. I am a Professor of Statistics at the <a href="https://www.ku.de/en/">Catholic University of Eichstätt-Ingolstadt</a>.
</p>
<p>
My research follows an application-oriented approach, focusing on real-world data problems that are both statistically challenging and practically relevant. My current methodological and theoretical interests include functional data analysis, nonparametric statistics, longitudinal data analysis, as well as simultaneous and causal inference. In addition, I am strongly committed to providing computational implementations of my work and regularly publish R packages on CRAN and GitHub to accompany my research papers.
</p>
</div>
<!-- ================================================================ -->
<section id="bio">
<h2>Bio</h2>
<ul class="timeline">
<li><span class="when">2026–present</span><span>Full Professor of Statistics at the <a href="https://www.ku.de/en/the-ku/faculties/wfi">Catholic University of Eichstätt-Ingolstadt</a></span></li>
<li><span class="when">2020–2026</span><span>Professor of Statistics at the <a href="https://www.econ.uni-bonn.de/ifs/en/statistics">Institute of Finance and Statistics</a>, University of Bonn</span></li>
<li><span class="when">2014–2020</span><span>Assistant Professor of Statistics at the <a href="https://www.econ.uni-bonn.de/ifs/en/statistics">Institute of Finance and Statistics</a>, University of Bonn</span></li>
<li><span class="when">2019</span><span>Research Visit (March) at the <a href="https://simons.berkeley.edu/">Simons Institute for the Theory of Computing</a>, UC Berkeley</span></li>
<li><span class="when">2013–2014</span><span>Postdoctoral Researcher at the <a href="https://ecares.ulb.ac.be/">European Center for Advanced Research in Economics and Statistics</a>, Université Libre de Bruxelles</span></li>
<!-- <li><span class="when">2010–2013</span><span>Research Assistant at the Institute for Econometrics and Statistics, University of Cologne</span></li> -->
<li><span class="when">2010</span><span>Research Visit, Working Group STAPH, Université Toulouse III – Paul Sabatier</span></li>
<li><span class="when">2008–2010</span><span>PhD at the <a href="https://wisostat.uni-koeln.de/">Institute for Econometrics and Statistics</a>, University of Cologne</span></li>
<!-- <li><span class="when">2003–2008</span><span>Undergraduate Studies in Economics at the University of Bonn and the Charles University in Prague</span></li> -->
</ul>
</section>
<!-- ================================================================ -->
<section id="publications">
<h2>Publications</h2>
<h3>Working Papers</h3>
<ul class="pubs">
<li>
Fang, C. and <span class="me">Liebl, D.</span>
<a class="title" href="https://arxiv.org/abs/2512.06804">Making event study plots honest: A functional data approach to causal inference</a>.
<span class="note">Under review.</span>
<span class="tags"><a href="https://arxiv.org/abs/2512.06804">PDF</a></span>
</li>
<li>
Ofner, M., Hörmann, S., Kraus, D. and <span class="me">Liebl, D.</span>
<a class="title" href="https://arxiv.org/abs/2505.08721">Testing the missing completely at random assumption for functional data</a>.
<span class="note">Under review.</span>
<span class="tags"><a href="https://arxiv.org/abs/2505.08721">PDF</a></span>
</li>
<li>
Creutzinger, M., <span class="me">Liebl, D.</span>, Mensinger, T. and Sharp, J.
<a class="title" href="files/Creutzinger_et_al_2026.pdf">Adaptive simultaneous prediction bands in concurrent functional linear regression</a>.
<span class="note">Under review.</span>
<span class="tags"><a href="files/Creutzinger_et_al_2026.pdf">PDF</a></span>
</li>
<li>
Kneip, A., <span class="me">Liebl, D.</span> and Otto, S.
<a class="title" href="https://arxiv.org/abs/2608.19874">Combining concurrent and historical functional linear regression</a>.
<span class="note">Under review.</span>
<span class="tags"><a href="https://arxiv.org/abs/2608.19874">PDF</a></span>
</li>
<li>
Telschow, F. J. E. and <span class="me">Liebl, D.</span> <span class="title">Generalized Kac-Rice formulas for non-constant critical value functions</span>. <span class="note">Work in progress.</span>
</li>
<!--
<li>Liebl, D. and Mensinger, T. <span class="title">Fair causal inference with functional data</span></li>
<li>Bada, O. and Liebl, D. <span class="title">A subsampled penalty criterion to estimate the number of non-vanishing common factors in large panels</span></li>
<li>Liebl, D. <span class="title">On the minor role of bandwidth selection when smoothing sparse to dense functional data</span></li>
<li>Liebl, D. and Rust, C. <span class="title">Directed local testing in the functional linear model</span></li>
<li>Gider, J. and Liebl, D. <span class="title">Observe the unobservable: Firm value and firm-specific heterogeneity in time trends</span></li>
<li>Liebl, D., Willwacher, S., Hamill, J. and Brüggemann, G. P. <span class="title">Take off your shoes! Analyzing the foot strike behavior of habitual shod runners when running barefoot</span></li>
-->
</ul>
<h3>Publications in Statistics</h3>
<ul class="pubs">
<li>
<span class="me">Liebl, D.</span> and Reimherr, M. (2023). <a class="title" href="https://doi.org/10.1093/jrsssb/qkad026">Fast and fair simultaneous confidence bands for functional parameters</a>. <em>Journal of the Royal Statistical Society, Series B</em>, 85(3), 842–868.
<span class="tags"><a href="https://arxiv.org/abs/1910.00131">PDF</a><a href="https://www.dliebl.com/ffscb/">R package</a></span>
</li>
<li>
Pataky, T. C., Abramowicz, K., <span class="me">Liebl, D.</span>, Pini, A., Sjöstedt de Luna, S. and Schelin, L. (2023). <a class="title" href="https://doi.org/10.1007/s10182-021-00418-4">Simultaneous inference for functional data in sports biomechanics: Comparing statistical parametric mapping with interval-wise testing</a>. <em>AStA Advances in Statistical Analysis</em>, 107, 369–392.
<span class="tags"><a href="https://github.com/0todd0000/iwtspm">Code</a></span>
</li>
<li>
Bada, O., Kneip, A., <span class="me">Liebl, D.</span>, Mensinger, T., Gualtieri, J. and Sickles, R. C. (2022). <a class="title" href="https://doi.org/10.1016/j.jeconom.2021.09.006">A wavelet method for panel models with jump discontinuities in the parameters</a>. <em>Journal of Econometrics</em>, 226(2), 399–422.
<span class="tags"><a href="https://arxiv.org/abs/2109.10950">PDF</a><a href="files/Bada_et_al_2021_JOE_Supplementary_Paper.pdf">Supplement</a><a href="https://github.com/timmens/sawr/">R package</a><a href="https://github.com/timmens/simulation-saw-paper">Code</a></span>
</li>
<li>
Poß, D., <span class="me">Liebl, D.</span>, Kneip, A., Eisenbarth, H., Wager, T. D. and Feldman Barrett, L. (2020). <a class="title" href="https://doi.org/10.1111/rssb.12386">Super-consistent estimation of points of impact in nonparametric regression with functional predictors</a>. <em>Journal of the Royal Statistical Society, Series B</em>, 82(4), 1115–1140.
<span class="tags"><a href="https://arxiv.org/abs/1905.09021">PDF</a><a href="https://github.com/lidom/fdapoi">R package</a></span>
</li>
<li>
<span class="me">Liebl, D.</span>, Rameseder, S. and Rust, C. (2020). <a class="title" href="https://doi.org/10.1080/10618600.2020.1754224">Improving estimation in functional linear regression with points of impact: Insights into Google AdWords</a>. <em>Journal of Computational and Graphical Statistics</em>, 29(4), 814–826.
<span class="tags"><a href="https://arxiv.org/abs/1709.02166">PDF</a><a href="https://github.com/christophrust/FunRegPoI">R package</a></span>
</li>
<li>
Kneip, A. and <span class="me">Liebl, D.</span> (2020). <a class="title" href="https://doi.org/10.1214/19-AOS1864">On the optimal reconstruction of partially observed functional data</a>. <em>The Annals of Statistics</em>, 48(3), 1692–1717.
<span class="tags"><a href="https://arxiv.org/abs/1710.10099">PDF</a><a href="https://github.com/lidom/ReconstPoFD">R package</a></span>
</li>
<li>
<span class="me">Liebl, D.</span> (2019). <a class="title" href="https://doi.org/10.1214/18-AOAS1230">Nonparametric testing for differences in electricity prices: The case of the Fukushima nuclear accident</a>. <em>The Annals of Applied Statistics</em>, 13(2), 1128–1146.
<span class="tags"><a href="https://arxiv.org/abs/1711.03367">PDF</a><a href="files/Liebl_AOAS_2019_Supplementy_Paper.pdf">Supplement</a><a href="files/Liebl_AOAS_2019_Supplementary_R_Codes_and_Data.zip">Code & Data</a></span>
</li>
<li>
<span class="me">Liebl, D.</span> and Rameseder, S. (2019). <a class="title" href="https://doi.org/10.1016/j.csda.2018.08.011">Partially observed functional data: The case of systematically missing parts</a>. <em>Computational Statistics & Data Analysis</em>, 131, 104–115.
<span class="tags"><a href="https://arxiv.org/abs/1711.07715">PDF</a><a href="https://github.com/stefanrameseder/PartiallyFD">R package</a></span>
</li>
<li>
<span class="me">Liebl, D.</span> and Walders, F. (2019). <a class="title" href="https://doi.org/10.1016/j.ecosta.2018.05.003">Parameter regimes in partial functional panel regression</a>. <em>Econometrics and Statistics</em>, 11, 105–115.
<span class="tags"><a href="https://arxiv.org/abs/1709.05786">PDF</a><a href="files/Liebl_Walders_ECOSTA_2018_Supplementary_Paper.pdf">Supplement</a></span>
</li>
<li>
<span class="me">Liebl, D.</span> (2019). <a class="title" href="https://doi.org/10.1016/j.jmva.2018.04.006">Inference for sparse and dense functional data with covariate adjustments</a>. <em>Journal of Multivariate Analysis</em>, 170, 315–335.
<span class="tags"><a href="https://arxiv.org/abs/1601.07780">PDF</a></span>
</li>
<li>
Bada, O. and <span class="me">Liebl, D.</span> (2014). <a class="title" href="https://doi.org/10.18637/jss.v059.i06">phtt: Panel data analysis with heterogeneous time trends in R</a>. <em>Journal of Statistical Software</em>, 59(6), 1–33.
<span class="tags"><a href="https://cran.r-project.org/package=phtt">R package</a></span>
</li>
<li>
<span class="me">Liebl, D.</span> (2013). <a class="title" href="https://doi.org/10.1214/13-AOAS652">Modeling and forecasting electricity prices: A functional data perspective</a>. <em>The Annals of Applied Statistics</em>, 7(3), 1562–1592.
<span class="tags"><a href="https://arxiv.org/abs/1310.1628">PDF</a><a href="files/Liebl_AOAS_2013_Supplementary_RCodes_and_Data.zip">Code & Data</a></span>
</li>
</ul>
<h3>Book Chapters & Editorials</h3>
<ul class="pubs">
<li>
Groll, A. and <span class="me">Liebl, D.</span> (2023). <a class="title" href="https://doi.org/10.1007/s10182-022-00453-9">Editorial special issue: Statistics in sports</a>. <em>AStA Advances in Statistical Analysis</em>, 107, 1–7.
</li>
<li>
<span class="me">Liebl, D.</span> and Reimherr, M. (2020). <span class="title">Simultaneous inference for function-valued parameters: A fast and fair approach</span>. In: <em>Functional and High-Dimensional Statistics and Related Fields</em>, edited by Aneiros, G., Horová, I., Hušková, M. and Vieu, P., pp. 153–159.
</li>
<li>
Walders, F. and <span class="me">Liebl, D.</span> (2017). <span class="title">Parameter regimes in partially functional linear regression for panel data</span>. In: <em>Functional Statistics and Related Fields</em>, edited by Aneiros, G., Bongiorno, E. G., Cao, R. and Vieu, P., pp. 261–270.
</li>
<li>
<span class="me">Liebl, D.</span> and Kneip, A. (2014). <span class="title">Modelling electricity prices as functional data on random domains</span>. In: <em>Contributions in Infinite-Dimensional Statistics and Related Topics</em>, edited by Bongiorno, E. G., Salinelli, E., Goia, A. and Vieu, P., pp. 90–97.
</li>
<li>
<span class="me">Liebl, D.</span>, Mosler, K. and Willwacher, S. (2012). <span class="title">Robust clustering of joint moment curves</span>. In: <em>9. Symposium der Sektion Sportinformatik der Deutschen Vereinigung für Sportwissenschaft</em>, edited by Byshko, R., Dahmen, T., Gratkowski, M., Gruber, M., Quintana, J., Saupe, D., Vieten, M. and Woll, A., pp. 68–73.
</li>
</ul>
<h3>Further Publications</h3>
<ul class="pubs">
<li>
Richter, E., <span class="me">Liebl, D.</span>, Schulte, B., Lehmann, N., Fuhrmann, C., Jöckel, K.-H., Ioannidis, J. P. A. and Streeck, H. (2023). <a class="title" href="https://doi.org/10.1038/s41598-023-32441-7">Analysis of fatality impact and seroprevalence surveys in a community sustaining a SARS-CoV-2 superspreading event</a>. <em>Scientific Reports</em>, 13, 5440.
</li>
<li>
<span class="me">Liebl, D.</span> (2022). <a class="title" href="https://doi.org/10.1016/j.gaitpost.2021.10.002">Letter to the Editor on: “Comparing groups of time dependent data using locally weighted scatterplot smoothing alpha-adjusted serial t-tests” by Niiler (2020)</a>. <em>Gait & Posture</em>, 92, 477–479.
<span class="tags"><a href="files/Liebl_2020_LttE_G&P.pdf">PDF</a></span>
</li>
<li>
Warmenhoven, J., Bargary, N., <span class="me">Liebl, D.</span>, Harrison, A. J., Robinson, M. A., Gunning, E. and Hooker, G. (2021). <a class="title" href="https://doi.org/10.1016/j.jbiomech.2020.110106">PCA of waveforms and functional PCA: A primer for biomechanics</a>. <em>Journal of Biomechanics</em>, 116, 110106.
</li>
<li>
Hollander, K., <span class="me">Liebl, D.</span>, Willwacher, S., Meining, S., Mattes, K. and Zech, A. (2019). <a class="title" href="https://doi.org/10.1177/0363546519849920">Adaptation of running biomechanics to repeated barefoot running: A randomized controlled study</a>. <em>The American Journal of Sports Medicine</em>, 47(8), 1975–1983.
</li>
<li>
Pataky, T. C., Vanrenterghem, J., Robinson, M. A. and <span class="me">Liebl, D.</span> (2019). <a class="title" href="https://doi.org/10.1016/j.jbiomech.2019.05.018">On the validity of statistical parametric mapping for nonuniformly and heterogeneously smooth one-dimensional biomechanical data</a>. <em>Journal of Biomechanics</em>, 91, 114–123.
</li>
<li>
Hamacher, D., <span class="me">Liebl, D.</span>, Hödl, C., Heßler, V., Kniewasser, C. K., Thönnessen, T. and Zech, A. (2019). <a class="title" href="https://doi.org/10.3389/fphys.2018.01955">Gait stability and its influencing factors in older adults</a>. <em>Frontiers in Physiology</em>, 9, 1955.
</li>
<li>
Zech, A., Meining, S., Hötting, K., <span class="me">Liebl, D.</span>, Mattes, K. and Hollander, K. (2018). <a class="title" href="https://doi.org/10.1007/s00421-018-3997-6">Effects of barefoot and footwear conditions on learning of a dynamic balance task: A randomized controlled study</a>. <em>European Journal of Applied Physiology</em>, 118(12), 2699–2706.
</li>
<li>
<span class="me">Liebl, D.</span>, Willwacher, S., Hamill, J. and Brüggemann, G. P. (2014). <a class="title" href="https://doi.org/10.1016/j.humov.2014.03.008">Ankle plantarflexion strength in rearfoot and forefoot runners: A novel clusteranalytic approach</a>. <em>Human Movement Science</em>, 35, 104–125.
<span class="tags"><a href="files/Liebl_et_al_HMS_2014.pdf">PDF</a></span>
</li>
</ul>
<h3>PhD Thesis</h3>
<ul class="pubs">
<li>
<span class="me">Liebl, D.</span> (2013). <a class="title" href="https://kups.ub.uni-koeln.de/5302/">Contributions to functional data analysis with applications to modeling time series and panel data</a>. PhD thesis, University of Cologne.
</li>
</ul>
<h3>Open Reviews</h3>
<ul class="pubs">
<li>
<span class="me">Liebl, D.</span> (2020). <a class="title" href="https://osf.io/cdnsk/">Open review of the manuscript <em>An Analysis of SARS-CoV-2 Viral Load by Patient Age</em></a> by Jones, T. C., Mühlemann, B., Veith, T., Zuchowski, M., Hofmann, J., Stein, A., Edelmann, A., Corman, V. M. and Drosten, C.
</li>
</ul>
</section>
<!-- ================================================================
<section id="talks">
<h2>Recent & Upcoming Talks</h2>
<ul class="plain">
<li>Workshop on Functional Data Analysis and Beyond, Dec. 3–14, 2018, Creswick Melbourne, Australia (invited by Aurore Delaigle, Debashis Paul, and Frédéric Ferraty)</li>
<li>11th International Conference on Computational and Methodological Statistics (CMStatistics 2018), Dec. 14–16, 2018, University of Pisa, Italy (invited by Gil González Rodríguez)</li>
<li>CRoNoS & MDA 2019, 2nd Workshop on Multivariate Data and Software, Apr. 14–16, 2019, Limassol, Cyprus (invited by Alessandra Menafoglio)</li>
<li>3rd International Workshop on Advances in Functional Data Analysis, May 23–24, 2019, Castro Urdiales, Spain (invited by Paula Navarro)</li>
<li>Workshop on New Developments in Econometrics and Time Series, June 6–7, 2019, Graz, Austria (invited by H. Dette, M. Hallin and S. Hörmann)</li>
<li>European Meeting of Statisticians (EMS 2019), Jul. 22–26, 2019, Palermo, Italy (invited by Laura Sangalli)</li>
<li>10th International Workshop on Simulation and Statistics, Sept. 2–6, 2019, Salzburg, Austria (invited by Siegfried Hörmann)</li>
<li>Seminar Talk, Umeå University, Sweden, Oct. 30</li>
<li>Seminar Talk, University College Dublin, Ireland, Nov. 7</li>
<li>Seminar Talk, University Carlos III Madrid, Spain, Nov. 25</li>
<li>12th International Conference on Computational and Methodological Statistics (CMStatistics 2019), London, UK, Dec. 14–16, 2019 (invited by Alexander Aue)</li>
<li>Seminar Talk, Weierstrass Institute for Applied Analysis and Stochastics (WIAS) and Humboldt-University Berlin, Germany, Jan. 8, 2020 (invited by Sonja Greven)</li>
<li>International Symposium on Nonparametric Statistics (ISNPS 2020), Paphos, Cyprus, Jun. 15–19, 2020 (invited by Siegfried Hörmann)</li>
<li>5th International Workshop on Functional and Operatorial Statistics (IWFOS 2020), Brno, Czech Republic, Jun. 24–27, 2020 (invited by Philippe Vieu, Germán Aneiros, Ivana Horová, and Marie Hušková)</li>
<li>International Forum in Statistics, Beijing, China, Jul. 11–12, 2020 (invited by Regina Liu)</li>
<li>International Workshop: Functional and Complex Data Analysis, Peking University, China, Aug. 23–26, 2020 (invited by Fang Yao)</li>
</ul>
</section>
-->
<!-- ================================================================ -->
<section id="editorial">
<h2>Editorial Services</h2>
<ul class="timeline">
<li><span class="when">since 2022</span><span>Member of the Statistical Advisory Board, <a href="https://www.sciencedirect.com/journal/human-movement-science/about/editorial-board"><em>Human Movement Science</em></a></span></li>
<li><span class="when">2021–2024</span><span>Associate Editor, <a href="https://rss.onlinelibrary.wiley.com/journal/14679876"><em>Journal of the Royal Statistical Society: Series C</em></a></span></li>
<li><span class="when">2020–2022</span><span>Guest Editor, Special Issue: Statistics in Sports, <a href="https://www.springer.com/journal/10182"><em>AStA Advances in Statistical Analysis</em></a> (with Andreas Groll, TU Dortmund University)</span></li>
</ul>
</section>
<!-- ================================================================ -->
<section id="refereeing">
<h2>Refereeing</h2>
<ul class="inline-list">
<li>The Annals of Statistics</li>
<li>Journal of the Royal Statistical Society: Series B</li>
<li>Journal of the American Statistical Association</li>
<li>Biometrika</li>
<li>The Annals of Applied Statistics</li>
<li>Journal of the Royal Statistical Society: Series C</li>
<li>Journal of Time Series Analysis</li>
<li>Computational Statistics & Data Analysis</li>
<li>Statistical Modelling</li>
<li>AStA Advances in Statistical Analysis</li>
<li>Econometrics and Statistics</li>
<li>Advances in Data Analysis and Classification</li>
<li>Journal of Computational and Graphical Statistics</li>
<li>Journal of Applied Statistics</li>
<li>Energy Economics</li>
<li>International Journal of Forecasting</li>
<li>TEST</li>
<li>Journal of Statistical Planning and Inference</li>
<li>Journal of Multivariate Analysis</li>
<li>Statistica Sinica</li>
<li>Statistics & Probability Letters</li>
</ul>
</section>
<!-- ================================================================ -->
<section id="software">
<h2>Software</h2>
<p>R packages accompanying my research papers:</p>
<ul class="plain">
<li><a class="pkg" href="https://github.com/lidom/ffscb">ffscb</a> — Fast and fair simultaneous confidence bands for functional parameters</li>
<li><a class="pkg" href="https://github.com/timmens/sawr/">sawr</a> — Wavelet method for panel models with jump discontinuities</li>
<li><a class="pkg" href="https://github.com/lidom/fdapoi">fdapoi</a> — Points of impact in nonparametric regression with functional predictors</li>
<li><a class="pkg" href="https://github.com/christophrust/FunRegPoI">FunRegPoI</a> — Functional linear regression with points of impact</li>
<li><a class="pkg" href="https://github.com/lidom/ReconstPoFD">ReconstPoFD</a> — Optimal reconstruction of partially observed functional data</li>
<li><a class="pkg" href="https://github.com/lidom/PartiallyFD">PartiallyFD</a> — Partially observed functional data with systematically missing parts</li>
<li><a class="pkg" href="https://github.com/lidom/R-package-phtt">phtt</a> — Panel data analysis with heterogeneous time trends (with <a href="https://de.linkedin.com/pub/oualid-bada-ph-d/82/521/6bb">Oualid Bada</a>; creator and maintainer)</li>
</ul>
</section>
<!-- ================================================================ -->
<section id="teaching">
<h2>Teaching</h2>
<p>A selection of past and current courses:</p>
<ul class="plain">
<li>
<strong>Computational Statistics / Data Science</strong> (B.Sc., M.Sc., PhD), University of Bonn.
Statistical learning, regression analysis, classification, resampling methods, linear model selection and regularization, multiple testing, doubly robust machine learning, tree-based methods, functional data analysis.
</li>
<li>
<strong>Econometrics</strong> (M.Sc., PhD), University of Bonn.
Probability theory, test theory, multiple linear regression, small- and large-sample inference, maximum likelihood inference, instrumental variable estimation, panel data analysis, time series analysis, causal inference.
</li>
<li>
<strong>Nonparametric Statistics</strong> (B.Sc.), University of Bonn.
Rank statistics and tests, nonparametric density estimation, nonparametric hypothesis testing, nonparametric regression.
</li>
<!--
<li><strong>Research Module in Econometrics & Statistics</strong> (M.Sc.), University of Bonn. <a href="https://www.dliebl.com/RM_ES_Script/">Course material</a></li>
<li>A Gentle Introduction to Functional Data Analysis, short lecture at the University of Passau. <a href="files/Intro2FDA.html">Slides</a>, <a href="https://github.com/lidom/Intro2FDA">Course material</a></li>
<li><strong>Advanced Statistics</strong> (M.Sc.), German Sport University Cologne</li>
<li>The beginnings of a lecture script for Computational Statistics (fun side project in German): <a href="https://www.dliebl.com/Computational_Statistics_Script/">Online-Skript</a></li>
-->
</ul>
</section>
<!-- ================================================================
<section id="fundings">
<h2>Fundings & Affiliations</h2>
<ul class="plain">
<li>My research was funded by the <a href="http://www.hcm.uni-bonn.de/people/profile/dominik-liebl/">Hausdorff Center for Mathematics (HCM)</a>, a Cluster of Excellence at the University of Bonn, funded by the German Research Foundation (DFG).</li>
<li>Member of the <a href="https://www.uni-bonn.de/en/research-and-teaching/research-profile/transdisciplinary-research-areas/tra-1-modelling">Transdisciplinary Research Area (TRA) Mathematics, Modelling and Simulation of Complex Systems</a> at the University of Bonn.</li>
<li>Visiting associate (2022–2025) at the <a href="https://statistics.colostate.edu/">Department of Statistics, Colorado State University</a>.</li>
<li>Member of the management committee of the <a href="https://www.cost.eu/actions/CA21163/">COST Action CA21163 – Text, functional and other high-dimensional data in econometrics</a>, funded by the European Union.</li>
</ul>
</section>
-->
<!-- ================================================================ -->
<section id="miscellaneous">
<h2>Miscellaneous</h2>
<p>
My former life took (mostly) place in <a href="http://www.judoinside.com/judoka/17194/Dominik_Liebl/judo-career">dojos</a>, where I used to wear a <a href="http://www.mittelbayerische.de/sport/regional/kelheim-nachrichten/nebenbei-zweifacher-deutscher-meister-21520-art46789.html">judogi</a>.
</p>
</section>
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<p><svg class="icon"><use href="#i-creative-commons"/></svg> 2026 Dominik Liebl · Content licensed <a href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a></p>
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