Simon Münker
Scholar

Simon Münker

Google Scholar ID: Y3illxAAAAAJ
Research Fellow, Trier University
Language ModelsAI AlignmentHuman Simulacra
Citations & Impact
All-time
Citations
29
 
H-index
3
 
i10-index
1
 
Publications
8
 
Co-authors
3
list available
Resume (English only)
Academic Achievements
  • - Published paper: 'InvBERT: Reconstructing Text from Contextualized Word Embeddings by inverting the BERT pipeline' in the Conference of Computational Literary Studies.
  • - Participated in the Social Sentiment in Times of Crises (SOSEC) project funded by the Alfred Landecker Foundation, implemented and maintained a pipeline to scrape social media posts and match them with related news articles.
Research Experience
  • - Oct. 2023 - Present: Research Fellow at Trier University, implementing and maintaining Python-based modules for synthetic social media users through language models and evaluating discourse metrics. Researching the ability of language models to mimic human behavior in conversation. Managing graduate student research groups, planning and conducting the lecture and exercise natural language processing.
  • - Mar. 2022 - Sep. 2023: Research Assistant at Trier University, co-authored 'InvBERT: Reconstructing Text from Contextualized Word Embeddings by inverting the BERT pipeline' published in the Conference of Computational Literary Studies. Implemented and maintained a pipeline to scrape social media posts and match them with related news articles as part of the Social Sentiment in Times of Crises (SOSEC) project funded by the Alfred Landecker Foundation. Planned and conducted the exercise sessions for the lecture algorithmic methods: a Python introduction.
  • - Apr. 2019 - Sep. 2021: Course Assistant at the University of Düsseldorf, providing academic support for multiple advanced mathematics and computer science courses.
  • - Feb. 2020 - Mar. 2020: Intern at the University of Düsseldorf, conducted research on multiword-expression (MWE) identification, developed an NLP pipeline that improved MWE detection accuracy using deep learning techniques.
  • - Oct. 2017 - Sep. 2019: Frontend Web Developer at DSC-Medien, developed responsive web applications using modern JavaScript frameworks, focused on React and Vue.js.
  • - Aug. 2016 - Sep. 2017: Frontend Web Developer at DSC-Medien, created and maintained responsive web solutions, developed custom WordPress themes and plugins.
  • - Aug. 2013 - Jul. 2016: Trainee at SIXWASNINE – Agentur für Kommunikation & Werbung, gained comprehensive experience in communication and advertising.
Education
  • - Bachelor's degree: Computational Linguistics (2017)
  • - Master's degree: Natural Language Processing (2021), specializing in text analysis and generation with large language models
  • - Advisor information not provided
Background
  • Started his career as a media designer and front-end web developer, focusing on WordPress and reactive JavaScript. Worked on projects in finance, education, and health. In 2016, he decided to pivot his career and actively participate in the research and development of language processing techniques and generative text-based AI. His research interests include natural language processing, text analysis, and generation.
Miscellany
  • Personal interests and hobbies not provided