CURRICULUM VITAE

Contact Information

Email: [initial].[lastname] [at] tilburguniversity.edu
Office: D108, Dante Building, Tilburg University
Address: Department of Cognitive Science and Artificial Intelligence
Tilburg University
PO Box 90153
5000 LE Tilburg
The Netherlands



Education

2011–2017 PhD in Cognitive Science, University of Potsdam
Topic: Dependency resolution as a retrieval process
Supervisors: Prof. Dr. Shravan Vasishth and Prof. Dr. Reinhold Kliegl
Grade: summa cum laude

2010 M.A. in Linguistics, Tel Aviv University
Topic: Processing Complex NP Islands in Hebrew
Supervisors: Prof. Dr. Julia Horvath and Prof. Dr. Tal Siloni
Grade: summa cum laude

2009 B.A Double Major, Tel Aviv University
Linguistics. Grade: summa cum laude
Sociology and Anthropology. Grade: very good



Articles

Published or accepted in peer-reviewed journals

Patterson, C., P. B. Schumacher, B. Nicenboim, J. Hagen, and A. Kehler (2022). “A Bayesian approach to German personal and demonstrative pronouns”. In: Frontiers in Psychology, Language Sciences 12. ISSN: 1664-1078. DOI: 10.3389/fpsyg.2021.672927. eprint: https://www.frontiersin.org/articles/10.3389/fpsyg.2021.672927/abstract.

Vasishth, S., H. Yadav, D. Schad, and B. Nicenboim (2022). “Sample size determination for Bayesian hierarchical models commonly used in psycholinguistics”. In: Computational Brain and Behavior. DOI: 10.1007/s42113-021-00125-y.

Schad, D. J., B. Nicenboim, P. Bürkner, M. Betancourt, and S. Vasishth (2022). “Workflow Techniques for the Robust Use of Bayes Factors”. In: Psychological methods. ISSN: 1082-989X. DOI: 10.1037/met0000472.

Lisson, P., D. Pregla, B. Nicenboim, D. Paape, M. L. van het Nederend, F. Burchert, N. Stadie, D. Caplan, and S. Vasishth (2021). “A computational evaluation of two models of retrieval processes in sentence processing in aphasia”. In: Cognitive Science 45.4. DOI: 10.1111/cogs.12956.

Nicenboim, B., S. Vasishth, and F. Rösler (2020). “Are words pre-activated probabilistically during sentence comprehension? Evidence from new data and a Bayesian random-effects meta-analysis using publicly available data”. In: Neuropsychologia 142, p. 107427. ISSN: 0028-3932. DOI: 10.1016/j.neuropsychologia.2020.107427.

Vasishth, S., B. Nicenboim, F. Engelmann, and F. Burchert (2019). “Computational models of retrieval processes in sentence processing”. In: Trends in Cognitive Sciences 23.11, pp. 968 - 982. ISSN: 1364-6613. DOI: 10.1016/j.tics.2019.09.003.

Nicenboim, B., S. Vasishth, F. Engelmann, and K. Suckow (2018). “Exploratory and confirmatory analyses in sentence processing: A case study of number interference in German”. In: Cognitive Science 42.S4, pp. 1075–1100. DOI: 10.1111/cogs.12589.

Nicenboim, B., T. B. Roettger, and S. Vasishth (2018). “Using meta-analysis for evidence synthesis: The case of incomplete neutralization in German”. In: Journal of Phonetics 70, pp. 39–55. DOI: 10.1016/j.wocn.2018.06.001.

Vasishth, S., B. Nicenboim, M. E. Beckman, F. Li, and E. Kong (2018). “Bayesian data analysis in the phonetic sciences: A tutorial introduction”. In: Journal of Phonetics 71, pp. 147–161. DOI: 10.1016/j.wocn.2018.07.008.

Nicenboim, B. and S. Vasishth (2018). “Models of Retrieval in Sentence Comprehension: A computational evaluation using Bayesian hierarchical modeling”. In: Journal of Memory and Language 99, pp. 1 –34. ISSN: 0749-596X. DOI: 10.1016/j.jml.2017.08.004.

Paape, D., B. Nicenboim, and S. Vasishth (2017). “Does antecedent complexity affect ellipsis processing? An empirical investigation”. In: Glossa: A journal of general linguistics. 2.1, p. 71. DOI: 10.5334/gjgl.290.

Nicenboim, B., P. Logačev, C. Gattei, and S. Vasishth (2016). “When high-capacity readers slow down and low-capacity readers speed up: Working memory and locality effects”. In: Frontiers in Psychology 7.280. ISSN: 1664-1078. DOI: 10.3389/fpsyg.2016.00280 . eprint: https://www.frontiersin.org/articles/10.3389/fpsyg.2016.00280/full.

Nicenboim, B. and S. Vasishth (2016). “Statistical methods for linguistic research: Foundational Ideas - Part II”. In: Language and Linguistics Compass 10.11, pp. 591–613. ISSN: 1749-818X. DOI: 10.1111/lnc3.12207.

Vasishth, S. and B. Nicenboim (2016). “Statistical Methods for Linguistic Research: Foundational Ideas - Part I”. In: Language and Linguistics Compass 10.8, pp. 349–369. ISSN: 1749-818X. DOI: 10.1111/lnc3.12201.

Nicenboim, B., S. Vasishth, C. Gattei, M. Sigman, and R. Kliegl (2015). “Working memory differences in long-distance dependency resolution”. In: Frontiers in Psychology 6.312. ISSN: 1664-1078. DOI: 10.3389/fpsyg.2015.00312.



Unpublished manuscripts

Schad, D. J., B. Nicenboim, and S. Vasishth (2022). “Data aggregation can lead to biased inferences in Bayesian linear mixed models”. unpublished. DOI: 10.48550/ARXIV.2203.02361.

Vasishth, S., B. Nicenboim, N. Chopin, and R. Ryder “Bayesian hierarchical finite mixture models of reading times: A case study”. unpublished. DOI: 10.17605/OSF.IO/FWX3S.

Albert, A. and B. Nicenboim “The double life of language systems: Modelling sonority with complementary symbol and signal based models”. unpublished. DOI: 10.31234/osf.io/kvqy5.



Short peer-reviewed papers in conferences

Nicenboim, B. (2018). “The implementation of a model of choice: The (truncated) linear ballistic accumulator”. In: StanCon. Aalto University, Helsinki, Finland. DOI: 10.5281/zenodo.1465990.

Vasishth, S., N. Chopin, R. Ryder, and B. Nicenboim (2017). “Modelling dependency completion in sentence comprehension as a Bayesian hierarchical mixture process: A case study involving Chinese relative clauses”. In: Proceedings of Cognitive Science Conference. London, UK.

Vasishth, S., L. Jaeger, and B. Nicenboim (2017). “Feature overwriting as a finite mixture process: Evidence from comprehension data”. In: Proceedings of MathPsych/ICCM Conference. Warwick, UK.

Nicenboim, B. and S. Vasishth (2017). “Models of Retrieval in Sentence Comprehension”. In: StanCon. (superseeded by 10.1016/j.jml.2017.08.004). Columbia University New York, NY.



Book in preparation

Nicenboim, B., D. Schad, and S. Vasishth An Introduction to Bayesian Data Analysis for Cognitive Science.



Conferences

2021

Stone, K., S. Vasishth, F. Rösler, and B. Nicenboim (2021). “Maximising ERP Resources Using a Sequential Bayes Factor Approach to Sample Size”. In: Architectures and Mechanisms for Language Processing (AMLaP). Université de Paris, France.

Patterson, C., P. B. Schumacher, B. Nicenboim, J. Hagen, and A. Kehler (2021). “German pronoun use follows Bayesian principles”. In: Proceedings of Annual CUNY Sentence Processing Conference, University of Pennsylvania.

2020

Lisson, P., D. Pregla, D. Paape, B. Nicenboim, N. Stadie, F. Burchert, and S. Vasishth (2020). “Computational models of retrieval processes in sentence comprehension in aphasia”. In: Architectures and Mechanisms for Language Processing (AMLaP). University of Potsdam, Germany.

Albert, A. and B. Nicenboim (2020). “Incorporating continuity in phonological models of the syllable using NAP”. In: LabPhon17.

2019

Nicenboim, B. (2019). “Bayesian inference: Obstacles and opportunities”. In: 8th Biennial International Conference on the Linguistics of Contemporary English (BICLCE), Bamberg, Germany.

Lisson, P., B. Nicenboim, S. Vasishth, and D. Paape (2019). “Models of retrieval in sentence comprehension in aphasia”. In: StanCon. Cambridge, UK.

Lisson, P., M. van het Nederend, D. Pregla, S. Vasishth, B. Nicenboim, and D. Paape (2019). “Competing models of retrieval in sentence processing: The case of aphasia”. In: Architectures and Mechanisms for Language Processing (AMLaP). Institute of Cognitive Neuroscience and Centre for Language and Brain, Higher School of Economics, Russia.

2018

Guerra, E., B. Nicenboim, and A. V. Helo (2018). “A crack in the crystall ball: Evidence against pre-activation of gender features in sentence comprehension”. In: Architectures and Mechanisms for Language Processing (AMLaP). Titanic Hotel Chaussee Berlin, Germany.

Nicenboim, B. and S. Vasishth (2018). “Bayesian cognitive models of memory retrieval processes: A case study ”. In: 51. Kongress der Deutschen Gesellschaft für Psychologie. Bayesian statistics as a coherent approach to psychologists’ statistical and methodological problems. Goethe-Universität Frankfurt, Germany.

2017

Albert, A. and B. Nicenboim (2017). “Linking sonority with periodic energy: Preliminary findings from production and perception”. In: 3rd International Workshop on Dynamic Modeling, Cologne, Germany.

Nicenboim, B. and S. Vasishth (2017). “Models of retrieval in sentence comprehension: A computational evaluation using Bayesian hierarchical modeling”. In: Proceedings of the Annual CUNY Sentence Processing Conference. Massachusetts Institute of Technology, Boston, MA, USA.

2016

Nicenboim, B., F. Engelmann, K. Suckow, and S. Vasishth (2016). “Number interference as predicted by cue-based retrieval”. In: Architectures and Mechanisms for Language Processing (AMLaP). Bilbao, Spain.

2015

Nicenboim, B., F. Engelmann, K. Suckow, and S. Vasishth (2015). “Fail fast or succeed slowly: Good-enough processing can mask interference effects”. In: International Conference on Cognitive Modeling (ICCM).

Nicenboim, B., P. Logacev, C. Gattei, and S. Vasishth (2015). “When high-capacity readers slow down and low-capacity readers speed up: Working memory differences in unbounded dependencies”. In: Proceedings of Annual CUNY Sentence Processing Conference. University of Southern California, Los Angeles, CA.

Nicenboim, B., K. Suckow, and S. Vasishth (2015). “Good-enough processing can mask interference effects”. In: Proceedings of Annual CUNY Sentence Processing Conference. University of Southern California, Los Angeles, CA.

2014

Nicenboim, B., P. Logacev, C. Gattei, and S. Vasishth (2014). “When high-capacity readers slow down and low-capacity readers speed up: Working memory differences in unbounded dependencies for German and Spanish readers”. In: Mental Architecture for Processing and Learning of Language (MAPLL). Tokyo, Japan.

Nicenboim, B., S. Vasishth, and R. Kliegl (2014). “Readers with less cognitive control are more affected by surprising content: Evidence from a self-paced reading experiment in German”. In: Mental Architecture for Processing and Learning of Language (MAPLL). Tokyo, Japan.

Nicenboim, B., S. Vasishth, and R. Kliegl (2014). “Readers with less cognitive control are more affected by surprising content”. In: Architectures and Mechanisms for Language Processing (AMLaP). Edinburgh, UK.

Nicenboim, B., S. Vasishth, R. Kliegl, C. Gattei, and M. Sigman (2014). “Working-memory capacity modulates antilocality effects in syntactic dependencies”. In: Proceedings of Annual CUNY Sentence Processing Conference. The Ohio State University, Columbus, OH.

2013

Nicenboim, B., S. Vasishth, C. Gattei, P. Logačev, and M. Sigman (2013). “The effect of distance on unbounded dependencies: An individual differences perspective”. In: Architectures and Mechanisms for Language Processing (AMLaP). Aix-Marseille Université, Marseille, France.

2012

Nicenboim, B. (2012). “Processing of filler-gap dependencies in Complex NP islands: Evidence from Hebrew”. In: Proceedings of Annual CUNY Sentence Processing Conference, New York, NY.

Nicenboim, B. (2012). “Processing Complex NP islands in Hebrew”. In: Proceedings of Generative Linguistics in the Old World Conference (GLOW), Potsdam, Germany.



Invited talks

2019

Bayesian models of memory retrieval in sentence comprehension (2019). Institute of Cognitive Science, University of Osnabrueck, Germany.

2018

Memory in sentence comprehension (2018). Job Talk at the Department of Cognitive and Brain Sciences, University of Ben Gurion, Israel.

A comparison of race and mixture models for explaining memory processes in sentence comprehension (2018). Stan user group in Berlin, Germany.

2017

Bayesian models in psycholinguistics (2017). Institut für Linguistik - Phonetik, University of Cologne, Germany.

Models of retrieval in sentence comprehension: A computational evaluation using Bayesian hierarchical modeling (2017). Colloquium of the HLP Lab at University of Rochester, NY, USA.

2015

Fail fast or succeed slowly: Good-enough processing can mask interference effects (2015). Center for Research in Language at University of San Diego, California, USA.

Hierarchical multinomial processing tree models (2015). Research Seminar in Cognitive Psychology, University of Potsdam, Germany.

2013

Speed-up does not necessarily mean facilitation: Working memory differences in long-distance dependency resolution (2013). Research Seminar in Cognitive Psychology, University of Potsdam, Germany.

The Effect of Distance on Long-Distance Dependencies. An Individual Differences Perspective (2013). Research Seminar in Cognitive Psychology, University of Potsdam, Germany.

The Effect of Distance on Long-Distance Dependencies. An Individual Differences Perspective (2013). Interdisciplinary Colloquium of the Linguistic Department, Tel Aviv University, Israel.

2012

The Effect of Distance on Unbounded Dependencies. An Individual Differences Perspective (2012). Psycholinguistic Seminar, Institute of Linguistics, University of Buenos Aires, Argentina.

The Effect of Distance on Unbounded (Linguistic) Dependencies. An Individual Differences Perspective (2012). Seminar, Laboratory of Integrative Neuroscience, University of Buenos Aires, Argentina.



Honors and grants

2012–2018 Potsdam Graduate School (PoGS) Travel Grants
2014 Kommission für Forschung und wissenschaftlichen Nachwuchs (FNK, University of Potsdam) Travel Grant
2014 Potsdam Graduate School (PoGS) PhD Completion Scholarship (5 months)
2013 Minerva Fellowship Extension for Doctoral Research (1 year)
2011 Minerva Fellowship for Doctoral Research (2 years)
2009 Posis Scholarship from the School of Cultural Studies, Tel Aviv University
2008 Faculty of Humanities Scholarship for Achievements in M.A. studies, Tel Aviv University
2006 Dean’s Award for Achievements in Linguistics, Tel Aviv University



Teaching experience

Workshops and summer schools

2017-2021 “Bayesian methods”,
Yearly Summer School on Statistical Methods for Linguistics and Psychology,
University of Potsdam, Germany
2020-2021 “Introduction to computational Bayesian methods using Stan”, Physalia courses,
Berlin, Germany
2020 “Methods in Advanced Statistics”, with Shravan Vasishth
2020 Winter School organized by Netherlands Graduate School in Linguistics (LOT),
Tilburg, Netherlands
2019 “Introduction to Bayesian statistics using brms”,
University of Cologne, Germany
2019 “Introduction to Bayesian statistics using brms”,
University of Edinburgh, UK
2018 Talk:“Cognitive models of memory processes in sentence comprehension: A case study using Bayesian hierarchical modeling”
Masterclass in Bayesian Statistics, Research school,
CIRM (Marseille Luminy, France)
2017 “Introduction to Bayesian Modeling using Stan”,
13. Tagung der Fachgruppe Methoden und Evaluation der Deutschen Gesellschaft für Psychologie,
Tübingen, Germany

Courses

2021 Lecturer in “Bayesian Models of Cognitive Processes”, Master in Cogntive Science & AI. Tilburg University
2020-2021 Lecturer in “Research skill: Programing with R”, Data Science & Society. Tilburg University
2020-2021 Lecturer in “Methodology for Premasters Data Science & Society”. Tilburg University
2015–2017 (Winter) Lecturer in “Advanced Data Analysis”. University of Potsdam
2016 (Summer) Lecturer in “Predictions in Language Processing”. University of Potsdam
2015–2016 (Winter) Lecturer in “Individual Differences in Sentence Processing”. University of Potsdam
2015 (Summer) Lecturer in “Predictions in Language Processing”. University of Potsdam
2008–2010 Teaching assistant in “Syntax Beginners” and “Foundations of Theoretical Linguistics” Tel Aviv University





Open software

  • eeguana. An R package for flexible manipulation of EEG data. Author
  • loo. Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models. Contributor



Reviewing

* Cognitive Psychology
* Journal of Experimental Psychology: Learning, Memory, and Cognition
* Neuropsychologia
* Lingua
* Phonological Data and Analysis
* Language, Cognition and Neuroscience
* Routledge Manuscript
* Journal of Memory and Language
* Quarterly Journal of Experimental Psychology
* Journal of Cognitive Psychology
* Journal of Phonetics
* CUNY Conference
* Quantitative approaches in corpus linguistics and psycholinguistics, Paris, France



Languages

* Spanish (Mother tongue)
* English (Fluent)
* Hebrew (Fluent)
* German (Advanced)



Non-academic professional experience

2009–2011 QA engineer: NLP Testing at Clearforest. Testing rules and heuristics for identifying semantic entities and relations in English, Spanish and French texts.
2007–2009 Content Specialist position at Celebros. Organization, analysis and categorization of data of Spanish and U.S. clients’ databases.

Citation:

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