I am a PhD student at University College London at the Department of Security and Crime Science. I have a wide interest in many research areas, which led me to study Psychology, Biomimetics as well as Brain and Cognitive Sciences. Following this, I developed an interest in data science, machine learning, and natural language processing, which I applied in deception detection projects.
My current research focuses on how data science methods can facilitate the detection and prevention of online fraud (e.g. counterfeit goods, phishing pages).
Google Scholar, GitHub, Twitter
- 2018-present: PhD student, Department of Security & Crime Science, University College London; Supervised by Bennett Kleinberg & Shane Johnson
- 2016-2018: M.Sc. (research) degree in Brain and Cognitive Science, University of Amsterdam, Netherlands
- 2018: Visiting Scholar at the Language and Information Technologies Group (7 months), University of Michigan, Ann Arbor, USA; Exchange during master’s program
- 2014-2016: B.Sc. in Biomimetics (Bionik), University of applied sciences, Germany; Change of study after 2 years
- 2011-2014: B.Sc. degree in Psychology, University of Groningen, Netherlands
- Soldner, F., Perez-Rosas, V., & Mihalcea, R. (2019). Box of Lies: Multimodal Deception Detection in Dialogues. 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 10. Paper, Data
- Soldner, F., Ho, J. C., Makhortykh, M., van der Vegt, I., Mozes, M., & Kleinberg, B. (2019). Uphill from here: Sentiment patterns in videos from left- and right-wing YouTube news channels. Third Workshop on Natural Language Processing and Computational Social Science, 10. Paper, Data, Code
Talks and Posters
- Presentation at NAACL 2019, Workshop NLP + CSS (June, Minneapolis, USA) and Euro CSS 2019 (September, Zürich, Switzerland) about “Sentiment patterns in videos from left- and right-wing YouTube news channels.”
- Poster presentation at NAACL 2019 (June, Minneapolis, USA) about “Box of Lies: Multimodal Deception Detection in Dialogues.”
UCL – Department of Security and Crime Science:
- Teaching Assistant: Preventing Crimes (18/19; 19/20) – M.Sc. Module, grading class assessments and work on online portal.
- Teaching Assistant: Applied Data Science (19/20) – M.Sc. Module, supervising coding tutorials (R), grading class assessments and work on online portal.
- Teaching Assistant: Security Technologies (19/20) – B.Sc. Module; supervising tutorials with handling security equipment and work on online portal.
- Teaching Assistant: Advanced Crime Analysis (18/19) – B.Sc. Module; supervising coding tutorials (R), grading class assessments and work on online portal.
- Master’s dissertation grading
- Peer-reviewing for journals:
Natural Language Engineering
- Volunteer at the Neuroscience Conference ICON 2017; Amsterdam; Coordinating of visitors, technical assistant
- Summer School “The Sleeping Brain: From Neural Networks to Cognition”, 2017 University of Amsterdam; Lectures and practical work on Implanting new memories during short naps, Poster presentation
- Lab visit Edinburgh, 2017 at the “Centre for Language Evolution” and the “Human Cognitive Neuroscience department” of the University of Edinburgh