Resume
Work Experience
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Ph.D. Candidate / Researcher
October 2021 - Present
Department of Human Centered Computing and Cognition,
Faculty of Computer Science, University of Duisburg-Essen, Germany- Planning, Conducting, and Publishing Research
- Working with large datasets (mainly experiments / surveys / social medaia content data)
- Teaching in the course of study Applied Cognitive and Media Science -
Graduate Teaching Assistant
April 2020 - September 2021
Department of Research Methods and Mathematical Psychology,
University of Tübingen, Germany- Teaching Seminars on Psychometrics / Statistics and Research Methods
- Grading Exams in Psychometrics and Research Methods -
Undergraduate Research Assistant
October 2018 - August 2019
Department of Applied Cognitive and Media Psychology,
University of Tübingen, Germany- Conducting Laboratory Experiments
- Literature Research
Education
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Ph.D. in Cognitive Science
2021 - PresentUniversity of Duisburg-Essen, Germany
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M.Sc. in Psychology
2020 - 2021University of Tübingen, Germany
Graduated as best of the year -
B.Sc. in Psychology
2016 - 2020University of Tübingen, Germany
08/2019 - 12/2019: Exchange Semester at the California State University, Fullerton, CA, USA
Honorary Commitment
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Member of Data Science for Social Good (DSSG), Berlin
January 2024 - PresentContributions to Data Science Projects for non-profit organizations
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Early Career Representative of the German Psychological Association's Media Psychology Division
September 2023 - Present
Scholarships and Awards
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1st prize (best model) in Data Science Competition: International Cherry Blossom Prediction Competition 2024, George Mason University Department of Statistics
May 2024 -
Best of the year award (Valedictorian), M.Sc. in Psychology, University of Tübingen
September 2021 -
Deutschlandstipendium (one year scholarship awarded for excellent academic achievements), University of Tübingen
2018, 2021 -
Baden-Württemberg Stipendium (five month scholarship for study abroad), Baden-Württemberg-Foundation
2019
My Skills
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R
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Python
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Frequentist Statistics
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Bayesian Statistics
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Machine Learning Methods (mainly Random Forest, Neural Networks)