Maximilian M. Rabe
Mailing address:
Universität Potsdam
Abt. Allg. u. Biol. Psychologie
Karl-Liebknecht-Str. 24-25
14476 Potsdam
Germany
Universität Potsdam
Abt. Allg. u. Biol. Psychologie
Karl-Liebknecht-Str. 24-25
14476 Potsdam
Germany
I am a cognitive scientist, mostly interested in cognitive/experimental psychology, psycholinguistics, statistics, computational modeling, research methods, and scientific programming. After having completed my Bachelor of Science (Psychology) at the University of Potsdam (supervised by Reinhold Kliegl) and my Master of Science (Psychology, Cognition and Brain Science) at the University of Victoria (supervised by Stephen Lindsay and Michael Masson), I am back at the University of Potsdam as a doctoral student since early 2018. In my current primary research project, I am employing dynamical computational modeling to explore the interaction of eye-movement control and sentence processing in reading (CRC 1287 B03, supervised by Ralf Engbert and Shravan Vasishth).
Publications
Preprints
- Rabe, M. M., Vasishth, S., Hohenstein, S., Kliegl, R., & Schad, D. J. (2020). hypr: An R package for hypothesis-driven contrast coding. Manuscript submitted for publication. doi: 10.31234/osf.io/cqzdx.
- Rabe, M. M., Chandra, J., Krügel, A., Seelig, S. A., Vasishth, S., & Engbert, R. (2019). A Bayesian approach to dynamical modeling of eye-movement control in reading of normal, mirrored, and scrambled texts. Manuscript submitted for publication. doi: 10.31234/osf.io/nw2pb.
Journal Articles
- Seelig, S. A., Rabe, M. M., Malem-Shinitski, N., Risse, S., Reich, S., & Engbert, R. (2020). Bayesian parameter estimation for the SWIFT model of eye-movement control during reading. Journal of Mathematical Psychology, 95. doi: 10.1016/j.jmp.2019.102313. arXiv:1901.11110.
- Masson, M. E. J., Rabe, M. M., & Kliegl, R. (2017). Modulation of additive and interactive effects by trial history revisited. Memory & Cognition, 45(3), 480–492. doi: 10.3758/s13421-016-0666-z.
Theses
- Rabe, M. M. (2018). Generalized linear mixed modeling of Signal Detection Theory (Master of Science). Supervisors: D. S. Lindsay, M. E. J. Masson, and A. Krawitz. University of Victoria, BC, Canada.
- Rabe, M. M. (2015). Mixed model analysis of trial history in naming experiments (Bachelor of Science). Supervisors: R. Kliegl and M. E. J. Masson. Universität Potsdam, Germany. urn:nbn:de:kobv:517-opus4-82735.
Presentations
- Rabe, M. M. (November 2019). Eye-movement control during reading: Bayesian parameter inference of the dynamical SWIFT model. Invited talk presented at University of Victoria, BC, Canada.
- Rabe, M. M., Chandra, J., Krügel, A., Seelig, S. A., & Engbert, R. (November 2019). Bayesian inference of dynamical cognitive and oculomotor processes in the SWIFT model of reading. Poster presented at Psychonomic Society 60th Annual Meeting, Montréal, QC, Canada. doi: 10.17605/osf.io/mxq4n.
- Seelig, S. A., Rabe, M. M., Malem-Shinitski, N., Reich, S., & Engbert, R. (September 2019). Bayesian parameter estimation for the SWIFT model of eye-movement control during reading. Poster presented at Cognitive Computational Neuroscience (CCN) 2019, Berlin, Germany. doi: 10.32470/CCN.2019.1369-0.
- Rabe, M. M., Chandra, J., Krügel, A., Seelig, S. A., & Engbert, R. (August 2019). Bayesian inference of the SWIFT model: Reading mirrored, scrambled, and normal texts. Poster presented at European Conference on Eye Movements (ECEM) 2019, Alicante, Spain. doi: 10.17605/osf.io/s5jk2.
- Rabe, M. M., Seelig, S. A., Chandra, J., Vasishth, S., Reich, S., & Engbert, R. (March 2019). Parameter inference and model comparison in dynamical cognitive models: SWIFT. Poster presented at 2nd SFB 1294 Data Assimilation Spring School, Dierhagen, Germany.
- Rabe, M. M., Kliegl, R., & Lindsay, D. S. (November 2017). A Generalized linear mixed model approach to signal detection theory in recognition memory experiments. Poster presented at Psychonomic Society 58th Annual Meeting, Vancouver, BC, Canada.
- Rabe, M. M., Kliegl, R., & Lindsay, D. S. (May 2017). Generalized linear mixed model of signal detection theory. Poster presented at NOWCAM, Burnaby, BC, Canada.
- Fallow, K. M., Rabe, M. M., & Lindsay, D. S. (November 2015). Recognition memory response bias for paintings, words, and faces. Poster presented at Psychonomic Society 56th Annual Meeting, Chicago, IL, USA.
Software
- Rabe, M. M., Kliegl, R., & Schad, D. J. (2019). designr: Balanced factorial designs with crossed random and fixed factors [R package]. Retrieved from https://maxrabe.com/designr.
- Rabe, M. M., Schad, D. J., Vasishth, S., & Kliegl, R. (2019). hypr: Hypothesis matrix translation [R package]. Retrieved from https://maxrabe.com/hypr.
Timeline
Show/hide: All | Positions | Education | Volunteering | Awards | Reviewing | Attended workshops | Attended conferences
| 08/11/2019 | Invited talk “Dynamical cognitive modeling: Bayesian inference of the SWIFT model”, University of Victoria, BC, Canada |
| 11/2019 | Attended Psychonomic Society 60th Annual Meeting, Montréal, QC, Canada |
| 13/09/2019 | Seminar contribution “Bayesian inference of the SWIFT model: Lecture on Dynamical Cognitive Modeling”, SMLP 2019, Potsdam, Germany |
| 09/2019 | Attended Cognitive Computational Neuroscience (CCN) 2019, Berlin, Germany |
| 09/2019 | Attended 3rd Statistical Methods for Linguists and Psychologists (SMLP), University of Potsdam, Germany |
| 08/2019 | Attended European Conference on Eye Movements (ECEM) 2019, Alicante, Spain |
| 06/2019 | Attended Conference for Research Software Engineers in Germany 2019 (deRSE19), Potsdam, Germany |
| 04/2019 | Reviewer, Student Research Award, APS |
| 03/2019 | Attended Statistics for Big Data, Free University of Berlin, Germany |
| 03/2019 | Attended 2nd SFB 1294 Spring School on Data Assimilation, Dierhagen, Germany |
| 02/2019 | Attended SFB 1294 Python Workshop, Potsdam, Germany |
| 11/2018 – 09/2019 | Student Representative, Senate Commission on Research and Junior Scientists, University of Potsdam |
| 11/2018 | Reviewer, Study Scholarship for North America 2019/20, DAAD |
| 10/2018 | Attended HLRN-IV user workshop, University of Göttingen, Germany |
| 09/2018 | Attended 2nd Statistical Methods for Linguists and Psychologists (SMLP), Bayesian track, University of Potsdam, Germany |
| 05/2018 – (current) | Ph.D. student, Cognitive Science, University of Potsdam |
| 09/2016 – 04/2018 | M.Sc., Psychology (Cognition and Brain Science), University of Victoria |
| 04/2018 | Reviewer, Student Research Award, APS |
| 04/2018 – (current) | Campus Representative, APS Student Caucus |
| 01/2018 – (current) | Doctoral Research Assistant, University of Potsdam |
| 11/2017 | Attended Psychonomic Society 58th Annual Meeting, Vancouver, BC, Canada |
| 09/2017 – 08/2018 | Graduate Fellowship, University of Victoria |
| 05/2017 | Attended Northwest Cognition and Memory (NOWCAM), Burnaby, BC, Canada |
| 03/2017 | Reviewer, Student Research Award, APS |
| 01/2017 – 04/2017 | Teaching Assistant, University of Victoria |
| 11/2016 | Attended Psychonomic Society 57th Annual Meeting, Boston, MA, USA |
| 09/2016 – 04/2018 | Graduate Study Scholarship, DAAD |
| 10/2012 – 08/2016 | B.Sc., Psychology, University of Potsdam |
| 10/2015 – 08/2016 | Teaching/Laboratory Assistant, University of Potsdam |
| 06/2015 – 08/2016 | Director of Communication, Psychology Students Union, University of Potsdam |
| 01/2015 – 04/2015 | PROMOS Scholarship, DAAD |
| 01/2015 – 04/2015 | Research Internship, University of Victoria |
| 06/2014 – 08/2016 | Research Assistant, University of Victoria |
For more details, you can find my complete CV here.