Dr. Kai-Robin Lange
Curriculum Vitae
Postdoctoral Researcher, TU Dortmund University
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Experience
03/2026-09/2026
External Lecturer
EBS University of Business and Law
Lecturer for NLP courses for the Master in Business Analytics
10/2025-present
Postdoctoral Researcher
TU Dortmund University
- Organizing lectures, exercises, and seminars
- Supervising master- and bachelor theses
- Acquiring third-party funds
- Conducting research on
- detecting conspiracy theories in social media
- spatio-temporal language modeling
- the German energy transition discourse
03/2025-07/2025
External Lecturer
EBS University of Business and Law
Lecturer for NLP courses for the Master in Business Analytics
11/2021-09/2025
Doctoral Researcher
TU Dortmund University
- Organizing exercises, seminars, and parts of lectures
- Supporting the supervision of master- and bachelor theses
- Conducted research
- Extracting economic narratives from texts
- NLP-based media analysis
- Temporal language modeling
03/2020-10/2021
Research Assistant
TU Dortmund University
- Collecting and curating data
- Editing lecture scripts
Education
11/2021-09/2025
Dr. rer. nat. (Statistics)
TU Dortmund University
- Grade: magna cum laude. Dissertation: magna cum laude, disputation: summa cum laude
- Thesis: Extracting economic narratives using natural language processing: A temporal perspective
2019-2021
M.Sc. in Statistics
TU Dortmund University
- Grade: 1.5
- Minor in Computer Science
- Thesis: Resampling strategies for unsupervised sentiment analysis using lexicon-based text embedding methods
2016-2019
B.Sc. in Statistics
TU Dortmund University
- Grade: 1.8
- Minor in Computer Science
Skills
Frameworks and Tools
Git
SLURM
LaTeX
Docker
Programming
Python
R
SQL
Java
Languages
German
English
Operating Systems
Windows
Linux
Publications
12 totalWord-Centered Semantic Graphs for Interpretable Diachronic Sense Tracking
02/2026Extracting Economic Narratives using Natural Language Processing: A temporal perspective
09/2025DissertationDOI
Identifying economic narratives in large text corpora - An integrated approach using Large Language Models
06/2025Narrative Shift detection: A hybrid approach of Dynamic Topic Models and Large Language Models
04/2025Best paper award (runner up)PDF
ttta: Tools for Temporal Text Analysis
04/2025Lex2Sent: A bagging approach to unsupervised sentiment analysis
09/2024SpeakGer: A meta-data enriched speech corpus of German state and federal parliaments
09/2023Zeitenwenden: Detecting changes in the German political discourse
09/2022Towards extracting collective economic narratives from texts
08/2022Named Entity Narratives
08/2022Dynamic change detection in topics based on rolling LDAs
2022Talks & presentations
13 totalIdentifying economic narratives in large text corpora
01/2027Invited Talk
Mining a rabbit hole: leveraging language models to traverse conspiracy theory narratives in telegram channels
12/2026Invited Talk
Identifying economic narratives in large text corpora
09/2026Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models
12/2025Invited Talk
Webscraping für Datenjournalist:innen: Hands-on workshop zum Extrahieren von Daten aus dem Internet
09/2025MATILDA: A Meta-data Aware and Temporally Induced Latent Dirichlet Allocation
03/2025Algorithmic Accountability: Wie messen und vermitteln wir, ob Algorithmen zuverlässig und fair arbeiten?
09/2024Tools for Temporal Text Analysis: A Python code collection for diachronic NLP tasks
09/2024Lex2Sent: A bagging approach to unsupervised sentiment analysis
09/2024Identifying economic narratives in large text corpora
05/2024SpeakGer: A meta-data enriched speech corpus of German state and federal parliaments
09/2023Roll2Vec: updating diachronic embeddings with a rolling window
09/2023Zeitenwenden: Detecting changes in the German political discourse
09/2022Teaching
Natural Language Processing
Spring 25, Spring 26Natural Language Processing
Winter 23/24, Winter 24/25, Winter 25/26Text Mining
Spring 25, Spring 26Kann Code Verantwortung? Wie man Algorithmic Accountability untersucht und vermittelt
Winter 24/25, Winter 25/26Introduction to Python
Summer 25Advanced Text Mining Methods
Winter 22/23, Summer 24Text as Data
Winter 22/23Asymptotic Theory
Winter 21/22, Winter 22/23Entscheidungstheorie
Summer 23Thesis supervision
Master's and bachelor's theses I supervised or co-supervised.
Multimodal Time-LLM: Integrating visual and temporal data for time series forecasting using large language models
2026Parameter optimization for RollingLDA
2026Diachronic Sense Modelling with Hierarchical Word Embeddings
2024Semantic shift modelling using graph neural networks
2024Comparison of Active Learning techniques for the benefit of data set generation in the field of text mining
2023Software & data
Awards and Grants
Do Investors' Mental Models Transfer Across Markets?
08/2026joint with Paul Grass
grant
Best paper award (runner up)
04/2025For the paper "Narrative Shift Detection: A hybrid approach of Dynamic Topic Models and Large Language Models"
award
Contributions to the research community
- Reviewing for the "Thinking Skills and Creativity" journal. Since 2025.
- Part of the organisation committees of the NEAR Conference 2024 and Statistische Woche 2023.
- Deputy for the representative of the research associates in the department board of the Department of Statistics. TU Dortmund University, since 2024.
- Member of the examination board for bachelor and master statistics. TU Dortmund University, since 2022.
- Co-Organizer of the "Natural Language in Economics" online seminar series. 2023-2025.