Scholar
Kenneth Enevoldsen
Google Scholar ID: VJRMvHUAAAAJ
Post-doc, Aarhus University
Citations & Impact
Citations
363
H-index
12
i10-index
14
Publications
20
Co-authors
60
list available
Publications
Resume (English only)
Academic Achievements
- Published work on detecting negative events from news media content, introduced the tomsup Python package, and explored the concept of News Information Decoupling (NID) in legacy news media. Additionally, involved in the DaCy project, which achieved state-of-the-art results on all Danish NLP tasks using SpaCy v3.
Research Experience
- Involved in several research projects such as detecting negative events from news media content, developing the tomsup Python package for Theory of Mind simulations, and using legacy print media to derive the principle of News Information Decoupling (NID) as an information signature of culturally significant catastrophic events. Also contributed to DaCy, a state-of-the-art Danish NLP framework built with SpaCy.
Education
- PhD in Multimodal Representation Learning, 2020-present, Aarhus University; MSc, Cognitive Science, 2019-2020, Aarhus University; BSc, Cognitive Science and Mathematics, 2016-2019, Aarhus University.
Background
- PhD student in multimodal representation learning with applications in decision support systems in Psychiatry and in the Covid-19 response. This includes the application of language models for early detection of mechanical restraint in psychiatry, development of psychiatric symptoms, and fake news narratives related to the Covid-19 response. Interested in applying statistical learning techniques across a wide range of fields from humanities to genomics, as well as in design and its effect on behavior.
Miscellany
- Expressed interest in design and how it affects behavior.
