Philipp Kaniuth
Philipp Kaniuth is a postdoctoral researcher (pre-defence) at the Chair of Clinical Psychology and Behavioural Neuroscience at Technische Universität Dresden. 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 (pre-defence), Chair for Clinical Psychology and Behavioural Neuroscience, Technische Universität Dresden, Dresden, Germany |
| 2019-2024 | Doctoral Researcher, Research Group Vision and Computational Cognition, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany |
Education
|
since 2024 2000s |
Psychotherapist in training (CBT) 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
1 Entries
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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