Welcome
I was a struggling mathematician, then a linguist and now a (cognitive) neuroscientist, but will probably always be a hacker. I also moonlight as an applied statistician. These are some of the things I’ve done along the way.
Code
Research odds and ends
See also links in the list of publications below.
Mixed-effects models
- MixedModels.jl, the next generation of software for fitting mixed-effects models
- BoxCox.jl
- MixedModelsExtras.jl
- MixedModelsMakie.jl
- MixedModelsPermutations.jl Permutation tests for MixedModels.jl (EXPERIMENTAL)
- MixedModelsSerialization.jl
- MixedModelsSim.jl/
- JellyMe4.jl RCall support for MixedModels.jl and lme4
- Effects.jl
- RegressionFormulae.jl
- StandardizedPredictors.jl
- lmerMultiMember
- lmerOut, an R package for pretty printing summaries and ANOVAs from mixed-effects models
- simr, an R package for conducting simulation-based power analyses of mixed-effects models (contributor)
EEG
- philistine, a collection of miscellaneous Python functions that I find useful, including an implementation of the Savitzky-Golay based method for IAF determination (Corcoran, Alday et al. Psychophysiology, 2018).
- DDTBOX, an EEGLAB plugin for MVPA (contributor)
- MNE Python, a Python package for analysing M/EEG data (contributor)
- PyMNE.jl
- PyFOOOF.jl
- libeep, C library for the processing of Advanced Neuro Technology’s file format for EEG data (contributor)
Miscellaneous
- TestSetExtensions.jl
- FiveLetterWords.jl
- mdwc, a drop-in
wc
replacement for pandoc Markdown files with a YAML block, also available via my Homebrew tap - futhark (git, hg) Makefile template for for authoring articles in Markdown and automatically copying references from a BibTeX library to a repository.bib file and generating Markdown diffs from version control history
- Automated look up of frequency data for a list of words via the Leipziger Wortschatz
- Python 3 fork for libleipzig interface (Hosted on GitHub with the parent project)
- My work on getting suds to work on Python 3
- deduper, a deduplication utility
- splitauthor, a utility for changing historical authorship in Mercurial
- neuropsychology, an R package for preparing common statistical methods for publication (contributor), now deprecated
- Analysis code for a quantitative model of morphological regularization (offshoot of my MA thesis)
- Compressed sensing example
Words
Futile attempts to program humans.
Presentations
(access to some of the repositories is restricted for copyright / license / data protection / other reasons)
Colloquia and Popular Science
Can’t find a talk you’re looking for here? Try looking under Teaching.
Forthcoming
2024
Using your mixed models to the fullest: moving beyond ANOVA-style thinking.
Lab colloquium, Dynamic Brain Lab, Northwestern University, Chicago.
2023
Mixed models: why or why not? (But probably why yes!).
Institute of Psychology, Jagiellonian University in Krakow.
2022
Mixed-effects models: All the questions you were too afraid to ask.
University of Leipzig.
2020
Optional stopping, Bayes, estimation and evidence: Riffing on John Kruschke and Data Colada.
M/EEG lunch meeting, DCCN.
Sprache und EEG jenseits des Satzes: Chancen und Herausforderungen.
Linguistics Colloquium, University of Mainz.
2019
Convergence warnings in lme4.
Mixed models meeting (M3), Donders Institute.
Ban the \(t\) test! A modest proposal.
Lunch Talk, Max-Planck-Institute for Psycholinguistics.
Eine neue Perspektive zu Baseline-Korrektur in EKP-Forschung.
Related paper. Graduate Colloquium, University of Salzburg.
So viele Sprachen und ein Gehirn.
MPG Science Slam, Munich.
2016
Who’s gotta p? Tripping up statistics in the garden of forking paths.
Slides (pdf). Repository. Early Career Seminar: Quality research: Why scientific rigour is so important and strategies for optimisation, Sleep Down Under 2016, Australasian Sleep Association.
Mixed Models.
Slides (html) Part 1, Part 2. Repository. Workshop hosted by the Decision Neuroscience Laboratory at the University of Melbourne.
Subtleties in controlling confounds in inferential statistics.
Slides (html). Repository. “Donuts” talk, University of Adelaide.
An introduction to multivariate pattern analysis.
Slides (pdf). Repository. 1st UniSA & Uni Melbourne Workshop on Multivariate Pattern Analysis of Event-related Potentials.
2014
Mixed Effects Models.
part of a talk on modern methods in EEG research with Jona Sassenhagen. Slides (pdf). Repository. Colloquium, Cognitive Neuroscience Laboratory, University of South Australia.
Regularisierung in deutschen Dialekten: eine quantitative Perspektive.
with Oliver Schallert. Slides. Analysis Code. Linguistic Colloquium, University of Mainz.
2013
Die Snowden-Affäre: Welche Daten kann die NSA lesen und was kann sie damit machen?.
Slides (pdf). Repository. Reading Week des FB 09, University of Marburg.
Von Wörtern zu Wellen.
Slides (pdf). Repository. Campus Marburg 2013..
Semantic Dependency Parsing (Sortof).
Slides. Repository. Colloquium, Datorlingvistik, University of Uppsala.
Linear mixed effects models in R.
Slides. Repository. Psycho-/Neurolinguistics Colloquium, University of Marburg.
Conferences
Forthcoming
Massive mixed models in Julia.
Joint Statistical Meetings (JSM) 2025, Nashville.
2025
2024
BoxCox.jl – A lightweight package with nice extensions.
JuliaCon 2024, Eindhoven. https://github.com/palday/juliacon2024.
2023
Graphical Displays for Understanding Mixed Models.
Joint Statistical Meetings (JSM) 2023, Toronto.
Graphical Displays for Understanding Mixed Models.
JuliaCon 2023, Boston.
2022
Effects.jl: Effectively Understand Effects in Regression Models.
JuliaCon 2021, The Internet. https://github.com/palday/juliacon2021.
Non-parametric Methods for Mixed-Effects Models of EEG Data.
JuliaCon 2021, The Internet. https://github.com/palday/juliacon2021.
Fast Simulation-Based Power Analyses for Mixed-Effects Models.
JuliaCon 2021, The Internet. https://github.com/palday/juliacon2021.
Putting the NO in ANOVA: the past, present and future (role) of statistics in linguistics and psychology.
Keynote. Fifth Summer School on Statistical Methods for Linguistics and Psychology (SMLP), University of Potsdam. https://github.com/palday/smlp2021-keynote.
Naturalistic Stimulation in M/EEG: Promises and Pitfalls.
Talk in the Symposium Naturalistic Stimuli in Cognitive Neuroscience. Tagung experimentell arbeitender Psychologen (TEAP) 2021, Ulm/The Internet.
2020
Parallelization, Random Numbers and Reproducibility.
JuliaCon 2020, The Internet. https://github.com/palday/juliacon2020
Away from arbitrary thresholds: using statistics to improve artifact rejection in ERP.
Poster. Neurobiology of Language 2020, The Internet.
2019
Conversation as a competitive sport
with Antje S. Meyer. Oral presentation. Architectures and Mechanisms for Language Processing (AMLaP) 2019, Moscow.
Beyond Phrase Structure: An Alternative Analysis of Brennan and Hale (2019) Using a Dependency Parser
with Ingmar Brilmayer. Poster. Neurobiology of Language 2019, Helsinki.
Is neural entrainment a basic mechanism for structure building?
with Markus Ostarek, Olivia Gawel1, Johannes Wolfgruber, Birgit Knudsen, Francesco Mantegna and Falk Huettig. Poster. Neurobiology of Language 2019, Helsinki.
2018
Worse than useless: traditional ERP baseline correction reduces power through self-contradiction.
Poster. Poster (pdf). DOI: 10.6084/m9.figshare.6953135. Neurobiology of Language 2018, Quebec City.
2017
Stress-timing via Oscillatory Phase-locking in Naturalistic Language
with Andrea E. Martin. Poster. Neurobiology of Language 2017, Baltimore.
Combinging Eye-movements and EEG recorded from separate populations:
- On the relationship between eye movements and the N400 in sentence processing: A unifying statistical approach.
with Franziska Kretzschmar. Poster (pdf). DOI:10.6084/m9.figshare.5267566. International Conference on Cognitive Neuroscience (ICON) XIII 2017, Amsterdam. - The two sides of prediction error in reading: On the relationship between eye movements and the N400 in sentence processing.
[with Franziska Kretzschmar. European Conference on Eye Movements 2017, Wuppertal. - On the relationship between eye movements and the N400 in predictive actor processing: A unifying statistical approach.]{style=“font-size: 70%;”}
with Franziska Kretzschmar. Architectures and Mechanisms of Language Processing (AMLaP) 2017, Lancaster.
Decoding Linguistic Structure Building in the Time-Frequency Domain.
with Andrea E. Martin. Poster (pdf). DOI: 10.6084/m9.figshare.4757965 Cognitive Neuroscience Society 2017, San Fransisco, and CUNY Conference on Human Sentence Processing 2017, Boston.
Recalled visual events from a naturalistic TV-viewing paradigm are associated with higher inter-trial coherence in the alpha band of the EEG.
second author with Daniel Rogers, Phillip Alday, Andrew Corcoran, Jessica Gysin-Webster, Magdalena Nenycz-Thiel, Duane Varan, Matthias Schlesewsky and Ina-Bornkessel-Schlesewsky. Poster. Cognitive Neuroscience Society 2017, San Fransisco.
2016
The eyes have it: cross-method and cross-linguistic patterns.
with Franziska Kretzschmar, Svenja Lüll, Louise Kyriaki, Matthias Schlesewsky and Ina Bornkessel-Schlesewsky. Poster (pdf). DOI: 10.6084/m9.figshare.3507347. Neurobiology of Language 2016, London.
Confound and control in language experiments.
with Jona Sassenhagen. Poster (pdf). Paper. DOI: 10.6084/m9.figshare.3528815. Neurobiology of Language 2016, London.
Individual differences in sentence processing based on handedness and family sinistrality in left- and right-handers.
with F. Kretzschmar, I. Brilmayer, I. Bornkessel-Schlesewsky, and M. Schlesewsky. Poster (pdf). DOI: 10.6084/m9.figshare.3793257. Neurobiology of Language 2016, London.
Biphasic ERP responses are not just filter artifacts.
with Sabine Frenzel, Matthias Schlesewsky and Ina Bornkessel-Schlesewsky. Poster (pdf). Repository. DOI: 10.6084/m9.figshare.3412237. Cognitive Neuroscience Society 2016, New York.
Towards a Rigorous Motivation for Zipf’s Law.
Poster (pdf). Paper. Repository. Poster DOI: 10.6084/m9.figshare.3412300. Evolang XI, New Orleans, Louisiana, USA.
(Super small) Data or Super (Small Data)? Using (Inter)Individual Estimates to Get the Most from the Least
with Matthias Schlesewsky and Ina Bornkessel-Schlesewsky. Slides. Repository. DOI: 10.6084/m9.figshare.3471728 Experimental Approaches to Arabic and other understudied Languages 2016, Abu Dhabi.
2015
Microtypological Aspects of Frequency-driven Language Change.
with Oliver Schallert. Poster (pdf). DOI: 10.6084/m9.figshare.3412231. Australian Linguistics Society 2015, Sydney.
The dorsal and ventral streams differ in commutativity, not complexity.
with Sarah Tune, Steven L. Small, Matthias Schlesewsky and Ina Bornkessel-Schlesewsky. Slides (pdf). DOI: 10.6084/m9.figshare.3412228. Australasian Cognitive Neuroscience Society 2015, Auckland.
Predicting behavioral preferences in language use from electrophysiological activity.
with Matthias Schlesewsky and Ina Bornkessel-Schlesewsky. Poster (pdf). DOI: 10.6084/m9.figshare.3471731. Society for Neuroscience 2015, Chicago.
Wait for it: Predicted Error vs. Prediction Error in Language Processing.
with Jona Sassenhagen, Scott Coussens and Ina Bornkessel-Schlesewsky. Poster (pdf). DOI: 10.6084/m9.figshare.3471737. Society for the Neurobiology of Language 2015, Chicago.
2014
Neural signatures of incremental text processing correlate with word entropy in a natural story context.
with Jona Sassenhagen and Ina Bornkessel-Schlesewsky. Poster (pdf). DOI: 10.6084/m9.figshare.3471740. Society for the Neurobiology of Language 2014, Amsterdam.
Tracking the emergence of meaning in the brain during natural story comprehension.
with Jona Sassenhagen and Ina Bornkessel-Schlesewsky. Poster (pdf). DOI: 10.6084/m9.figshare.3471743. International Conference on Cognitive Neuroscience 2014, Brisbane, Australia.
2013
Reliability of gamma activity during semantic integration.
with Jona Sassenhagen. Poster (pdf). DOI: 10.6084/m9.figshare.3471746. Society for the Neurobiology of Language 2013, San Diego, California.
2012
Towards a Computational Model of Actor-Based Language Comprehension.
with Matthias Schlesewsky and Ina Bornkessel Schlesewsky. Poster (pdf). Repository. DOI: 10.6084/m9.figshare.3471749. Neurobiology of Language 2012, San Sebastian, Spain.
2011
Actor identification in natural stories: Qualitative distinctions in the neural bases of actor-related features.
with Arne Nagels, Matthias Schlesewsky and Ina Bornkessel Schlesewsky. Slides (pdf). Repository. DOI: 10.6084/m9.figshare.3471752. Neurobiology of Language 2011, Annapolis, Maryland, USA.
Publications
(access to some of the repositories is restricted for copyright / license / other reasons)
2023
Kretzschmar, F., & Alday, P. M. (2023). Principles of statistical analysis: Old and new tools. In M. Grimaldi, Y. Shtyrov, & E. Brattico (Eds.), Language electrified. Techniques, methods, applications, and future perspectives in the neurophysiological investigation of language. https://doi.org/10.31234/osf.io/nyj3k OSF preprint.
Huizeling, E., Alday, P. M., Peeters, D., & Hagoort, P. (2023). Combining EEG and 3D-eye-tracking to study the prediction of upcoming speech in naturalistic virtual environments: A proof of principle. Neuropsychologia, 191, 108730. https://doi.org/10.1016/j.neuropsychologia.2023.108730
2022
Cao, Y., Oostenveld, R., Alday, P. M., & Piai, V. (2022). Are alpha and beta oscillations spatially dissociated over the cortex in context-driven spoken-word production? Psychophysiology, 59(6). https://doi.org/10.1111/psyp.13999
Brehm, L., & Alday, P. M. (2022). Contrast coding choices in a decade of mixed models. Journal of Memory and Language, 125, 104334. https://doi.org/10.1016/j.jml.2022.104334
Bornkessel-Schlesewsky, I., Sharrad, I., Howlett, C. A., Alday, P. M., Corcoran, A. W., Bellan, V., Kliegl, R., Lewis, R. L., Small, S. L., & Schlesewsky, M. (2022). Rapid adaptation of predictive models during language comprehension: Aperiodic EEG slope, individual alpha frequency and idea density modulate individual differences in real-time model updating. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.817516
2021
Liebherr, M., Corcoran, A. W., Alday, P. M., Coussens, S., Bellan, V., Howlett, C. A., Immink, M. A., Kohler, M., Schlesewsky, M., & Bornkessel-Schlesewsky, I. (2021). EEG and behavioral correlates of attentional processing while walking and navigating naturalistic environments. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-01772-8
Holler, J., Alday, P. M., Decuyper, C., Geiger, M., Kendrick, K. H., & Meyer, A. S. (2021). Competition reduces response times in multiparty conversation. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.693124
2020
Kaufeld, G., Bosker, H. R., Oever, S. ten, Alday, P. M., Meyer, A. S., & Martin, A. E. (2020). Linguistic structure and meaning organize neural oscillations into a content-specific hierarchy. Journal of Neuroscience, JN-RM-0302-20. https://doi.org/10.1523/jneurosci.0302-20.2020
Cross, Z. R., Santamaria, A., Corcoran, A. W., Chatburn, A., Alday, P. M., Coussens, S., & Kohler, M. J. (2020). Individual alpha frequency modulates sleep-related emotional memory consolidation. Neuropsychologia, 148, 107660. https://doi.org/10.1016/j.neuropsychologia.2020.107660
Chan, R. W., Alday, P. M., Zou-Williams, L., Lushington, K., Schlesewsky, M., Bornkessel-Schlesewsky, I., & Immink, M. A. (2020). Focused-attention meditation increases cognitive control during motor sequence performance: Evidence from the N2 cortical evoked potential. Behavioural Brain Research, 384, 112536. https://doi.org/10.1016/j.bbr.2020.112536
2019
Alday, P. M., & Kretzschmar, F. (2019). Speed-accuracy tradeoffs in brain and behavior: Testing the independence of P300 and N400 related processes in behavioral responses to sentence categorization. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2019.00285 analysis code.
Alday, P. M. (2019). How much baseline correction do we need in ERP research? Extended GLM model can replace baseline correction while lifting its limits. Psychophysiology, 56(12). https://doi.org/10.1111/psyp.13451 arXiv preprint. example analysis code.
Rodd, J., Bosker, H. R., Ernestus, M., Alday, P. M., Meyer, A. S., & Bosch, L. ten (2019). Control of speaking rate is achieved by switching between qualitatively distinct cognitive “gaits”: Evidence from simulation. Psychological Review. https://doi.org/10.1037/rev0000172
Mantegna, F., Hintz, F., Ostarek, M., Alday, P. M., & Huettig, F. (2019). Distinguishing integration and prediction accounts of ERP N400 modulations in language processing through experimental design. Neuropsychologia, 134, 107199. https://doi.org/10.1016/j.neuropsychologia.2019.107199 analysis code and data. GitHub
Bode, S., Feuerriegel, D., Bennett, D., & Alday, P. M. (2019). The decision decoding ToolBOX (DDTBOX) – a multivariate pattern analysis toolbox for event-related potentials. Neuroinformatics, 17(1), 27–42. https://doi.org/10.1007/s12021-018-9375-z biorXiv preprint. Source code.
Alday, P. M. (2019). M/EEG analysis of naturalistic stories: A review from speech to language processing. Language, Cognition and Neuroscience, 34(4), 457–473. https://doi.org/10.1080/23273798.2018.1546882
2018
Krebs, J., Wilbur, R. B., Alday, P. M., & Roehm, D. (2019). The impact of transitional movements and non-manual markings on the disambiguation of locally ambiguous argument structures in austrian sign language (ÖGS). Language and Speech, 62(4), 652–680. https://doi.org/10.1177/0023830918801399
Corcoran, A. W., Alday, P. M., Schlesewsky, M., & Bornkessel-Schlesewsky, I. (2018). Toward a reliable, automated method of individual alpha frequency (IAF) quantification. Psychophysiology, e13064. https://doi.org/10.1111/psyp.13064 biorXiv preprint. MATLAB implementation. Python implementation.
Meyer, A. S., Alday, P. M., Decuyper, C., & Knudsen, B. (2018). Working together: Contributions of corpus analyses and experimental psycholinguistics to understanding conversation. Frontiers in Psychology, 9. https://doi.org/10.3389/fpsyg.2018.00525 Analysis code and data.
2017
Alday, P. M., Schlesewsky, M., & Bornkessel-Schlesewsky, I. (2017). Electrophysiology reveals the neural dynamics of naturalistic auditory language processing: Event-related potentials reflect continuous model updates. Eneuro, 4(6), ENEURO.0311–16.2017. https://doi.org/10.1523/eneuro.0311-16.2017 biorXiv preprint. Analysis and paper repository. Preprocessing repository. Data DOI: 10.6084/m9.figshare.3412312.v1.
Alday, P. M., Schlesewsky, M., & Bornkessel-Schlesewsky, I. (2017). Commentary on sanborn and chater: Posterior modes are attractor basins. Trends in Cognitive Sciences, 21(7), 491–492. https://doi.org/10.1016/j.tics.2017.04.003 bioRXiv preprint.
Wiese, R., Orzechowska, P., Alday, P. M., & Ulbrich, C. (2017). Structural principles or frequency of use? An ERP experiment on the learnability of consonant clusters. Frontiers in Psychology, 7, 2005. https://doi.org/10.3389/fpsyg.2016.02005
Kretzschmar, F., & Alday, P. M. (2017). The two sides of prediction error in reading: On the relationship between eye movements and the N400 in sentence processing. In R. Radach, H. Deubel, C. Vorstius, & M. J. Hofmann (Eds.), Proceedings of the 19th european conference on eye movements, wuppertal. Journal of Eye Movement Research, 10, 311. https://doi.org/10.16910/jemr.10.6
2016
Sassenhagen, J., & Alday, P. M. (2016). A common misapplication of statistical inference: Nuisance control with null-hypothesis significance tests. Brain and Language, 162, 42–45. https://doi.org/10.1016/j.bandl.2016.08.001 arXiv preprint. Repository. Online overview
Alday, P. M. (2016). Towards a rigorous motivation for zipf’s law. In S. G. Roberts, C. Cuskley, L. McCrohon, L. Barceló-Coblijn, O. Feher, & T. Verhoef (Eds.), The evolution of language: Proceedings of the 11th international conference (EVOLANG11). Online at http://evolang.org/neworleans/papers/178.html. http://evolang.org/neworleans/papers/178.html
Bornkessel-Schlesewsky, I., Alday, P. M., & Schlesewsky, M. (2016). A modality-independent, neurobiological grounding for the combinatory capacity of the language-ready brain: Comment on “towards a computational comparative neuroprimatology: Framing the language-ready brain”by michael a. arbib. Physics of Life Reviews, –. https://doi.org/10.1016/j.plrev.2016.01.003
Ulbrich, C., Alday, P. M., Knaus, J., Orzechowskac, P., & Wiese, R. (2016). The role of phonotactic principles in language processing. Language, Cognition and Neuroscience. https://doi.org/10.1080/23273798.2015.1136427
2015
Bornkessel-Schlesewsky, I., Philipp, M., Alday, P. M., Kretzschmar, F., Grewe, T., Gumpert, M., Schumacher, P. B., & Schlesewsky, M. (2015). Age-related changes in predictive capacity versus internal model adaptability: Electrophysiological evidence that individual differences outweigh effects of age. Frontiers in Aging Neuroscience, 7(217). https://doi.org/10.3389/fnagi.2015.00217
Alday, P. M. (2015). Be careful when assuming the obvious: Commentary on “the placement of the head that minimizes online memory: A complex systems approach.” Language Dynamics and Change, 5(1), 138–146. https://doi.org/10.1163/22105832-00501008 https://hg.sr.ht/~palday/comment-on-ldc-1028
Alday, P. M., Schlesewsky, M., & Bornkessel-Schlesewsky, I. (2015). Discovering prominence and its role in language processing: An individual (differences) approach. Linguistic Vanguard, 1(1). https://doi.org/10.1515/lingvan-2014-1013 Source Code.
2014
Alday, P. M., Schlesewsky, M., & Bornkessel-Schlesewsky, I. (2014). Towards a computational model of actor-based language comprehension. Neuroinformatics, 12(1), 143–179. https://doi.org/10.1007/s12021-013-9198-x Analysis Code.
2012
Alday, P. M. (2012). Province on a hill: South tyrol as a microcosm of european federalism. In Ideas of | for europe. An interdisciplinary approach to european identity (pp. 271–284).
Teaching
SMLP
For the past several years, I’ve had the pleasure of teaching (with Reinhold Kliegl and Douglas Bates) the Advanced Frequentist Track at the Summer School on Statistical Methods for Linguistics and Psychology at the University of Potsdam. This course has also served a testing ground for innovations both in MixedModels.jl and in the broader Julia package ecosystem. In other words: the older materials are most assuredly out of date, both in terms of practices and software capabilities and compatibility.
Online materials and one-offs
These were often written for an “informercial”, either as part of a regular meeting series or to explain something that I had received a lot of questions about. As a rule, they have not been updated – not for changes in the software landscape nor to fix mistakes of various sorts nor to indicate where my own thoughts on a topic have changed. The sorting into years thus serves as a bit of a warning about how stale the contents within may be.
2024
- An introduction to the MixedModels.jl ecosystem in Julia
presented to the economics department of the European Commission.
2022
- Using Simulation to Understand Mixed Models in the Wild.
for FIAS Statistics Workshop “Modelling Diversity in Language and Cognition”. - Mixed effects models
for block seminar of linguists at LMU Munich.
2018
2017
2016
University Experience
International Max Planck Research School (IMPRS) for Language Sciences
- Bayesian Estimation and Regression. 2020.
with Natalia Levshina. - Automate the boring stuff. 2019.
University of Salzburg
- Mixed-Effects Models. Summer 2016
University of Marburg
- Statistik für Sprachwissenschaftler.Summer 2014.
- Python für Linguisten.Source code Winter 2013–14.
- Kognitive Modellierung in der Psycho- & Neurolinguistik/ Summer 2013.
- Themen zur Morphologie. Winter 2012-13.
- Quantitative Methoden in der Sprachwissenschaft. Summer 2012/
- Einführung in die Linguistik des Deutschen I. Winter 2011–12. with Jona Sassenhagen.
- Elektrophysiologie der Sprache. Winter 2011-12. with Jona Sassenhagen.
- Empirische und mathematische Methoden in der Sprachwissenschaft. Summer 2011 with Jona Sassenhagen.
University of Mainz
- Advanced Statistical Methods. Fall 2014.
- Forschungsseminar und Experimentalpraktikum I. Winter 2013–14.
- BA Seminar. Winter 2012–13.
- Einführung in die Morphologie und Syntax. Winter 2012–13.
Louisiana School for Math, Science and the Arts
- Latin I (Summer School 2004–2008, Teaching Assistant for Dr. E. Hall)