I am currently a PhD student in the Applied Neurocognitive Psychology Lab at the University Oldenburg and neuroscientist in the Applied Neurocognitive System Lab at the Fraunhofer Institute for Industrial Engineering.

My research investigates neuronal correlates associated with cognitive processes during emotional distraction using EEG, MEG and fNIRS.

I am interested in new approaches in signal processing as well as encoding and decoding approaches to better understand how our brain processes emotional stimuli during ongoing cognitive tasks not only in laboratory settings but also in our everyday life. Download my CV

  • Cognitive and Affective Neuroscience
  • Signal Processing using M/EEG and fNIRS
  • Machine Learning
  • MSc in Psychology, 2018

    University of Vienna

  • BSc in Psychology, 2016

    University of Vienna


Fraunhofer Institute for Industrial Engineering IAO
Research Assistant
Feb 2021 – Present Stuttgart, Germany

Responsibilities include:

  • Neuroelectrophysiology and Neuroimaging Methods
  • Signal Processing, Statistics and Machine Learning
  • Brain-Computer Interfaces and Neuro-adaptive Technologies
University Oldenburg
PhD Student
Jan 2021 – Present Oldenburg, Germany
  • Investigating Neuronal Correlates of Interacting Affective and Cognitive Processes with MEG and Eye-tracking
University of Stuttgart, the Institute of Human Factors and Technology Management IAT
Research Assistant
Nov 2018 – Jan 2021 Stuttgart, Germany

Responsibilities include:

  • Neuroelectrophysiology and Neuroimaging Methods in Applied Scenarios
  • Signal Processing, Statistics and Machine Learning
  • Brain-Computer Interfaces and Neuro-adaptive Technologies



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(2023). Workload-dependent hemispheric asymmetries during the emotion-cognition interaction: A close-to-naturalistic fNIRS study. Front. Neuroergonomics.

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(2023). Decoding Mental Effort in a Quasi-Realistic Scenario: A Feasibility Study on Multimodal Data Fusion and Classification. Sensors.

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(2023). Investigating Feature Set Decisions for Mental State Decoding in Virtual Reality Based Learning Environments. AHFE 2023.

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(2023). GAUDIE: Development, validation, and exploration of a naturalistic German AUDItory Emotional database. Behav Res.

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(2022). Examining Joy of Use and Usability During Mobile Phone Interactions within a Multimodal Methods Approach. MuC'22.


(2022). Artificial intelligence in psychology: How can we enable psychology students to accept and use artificial intelligence?. Psychology Learning & Teaching, 21(1).

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(2022). Exploring Conventional, Automated and Deep Machine Learning for Electrodermal Activity-Based Drivers’ Stress Recognition. IEEE International Conference on SMC 2021.

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(2021). Real-time feedback of subjective affect and working memory load based on neurophysiological activity. HCI International 2021.

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(2021). Investigating the Emotion-Cognition Interaction: Effects of Affective Distractors on Working Memory Load. NEC'2021.

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(2021). Effects of the COVID-19 Pandemic on Psychological Well-Being and Mental Health Based on a German Online Survey. Front. Public Health.


(2021). Investigating the Modulation of Spatio-Temporal and Oscillatory Power Dynamics by Perceptible and Non-perceptible Rhythmic Light Stimulation. AHFE 2021.

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(2021). Temporal Decoding of Emotion and Workload from Fixation-Related EEG Recordings. NEC'21.

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(2021). What I feel and what I say: Decoding neurophysiological correlates of cognitive and affective states. NEC'21.

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(2021). Brain Oscillation Entrainment by Perceptible and Non-perceptible Rhythmic Light Stimulation. Front. Neuroergonomics.

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(2021). Feinfühlige Technik: Wie Neuroergonomie und Brain-Computer-Interfaces in der Praxis eingesetzt werden können . Fraunhofer Publication.

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(2021). Combining eye tracking and physiology for detection of emotion and workload. Measuring Behavior 2020-21.

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(2020). Oscillatory EEG Signatures of Affective Processes during Interaction with Adaptive Computer Systems. Brain Sciences.


(2019). MindTrain: How to Train your Mind with Interactive Technologies. MuC'19: Proceedings of Mensch und Computer 2019.

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