Philipp Kaniuth (PhD)
Dr. Philipp Kaniuth
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Philipp Kaniuth is a postdoctoral researcher at the Chair of Clinical Psychology and Behavioural Neuroscience at TUD Dresden University of Technology. He is interested in representational systems and how affective disorders spread through social networks. In his work, he utilises advanced statistical methods and relies on computational techniques as well as big data analyses. Alongside his postdoctoral work, Philipp trains to become a licensed psychotherapist (in cognitve-behavioural therapy).
Academic Experience
| since 2024 | Postdoctoral Researcher, Chair for Clinical Psychology and Behavioural Neuroscience, TUD Dresden University of Technology, Dresden, Germany |
| 2019-2024 | Doctoral Researcher, Research Group Vision and Computational Cognition, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany |
Education
|
2025 |
PhD (Dr. rer. nat.), Max Planck Institute for Human Cognitive and Brain Sciences / Leipzig University (with highest honours / summa cum laude) |
| since 2024 | Psychotherapist in training (CBT) |
| 2000s | One B.Sc. and two M.Sc.s in Psychology (Studies in Germany and the UK) |
Honors and Awards
| 2021 | Poster Competition Winner, IMPRS NeuroCom Summer School |
| 2020 | Travel award, Vision Science Society Meeting |
Online resources and profiles
- philipp-kaniuth.de
- ORCiD (for publications)
- OSF (for data)
- Codeberg (for new code)
- GitHub (for old code)
Publications
2025
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A high-throughput approach for the efficient prediction of perceived similarity of natural objects, 22 Apr 2025Electronic (full-text) versionResearch output: Other contribution > Other
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Ten principles for reliable, efficient, and adaptable coding in psychology and cognitive neuroscience, 15 Apr 2025, In: Communications psychology. 3, 1, 62Electronic (full-text) versionResearch output: Contribution to journal > Research article
2022
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Feature-reweighted representational similarity analysis: A method for improving the fit between computational models, brains, and behavior, 15 Aug 2022, In: NeuroImage. 257, 43 p., 119294Electronic (full-text) versionResearch output: Contribution to journal > Research article
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