Curriculum Vitae Alexandre Mercier is a research associate at the chair of Software Engineering for Business Information Systems at TU Munich since July 2024. He holds a master's degree in Computer Science from TUM and wrote his master thesis on the topic of Investigating data to text approaches to achieve diversity of generated marketing text in the music industry with industry partner Connactz. He started as a working student in data science at Würth Elektronik during his bachelors and moved on to specialize in NLP during his master's degree.
Research Interests
Natural Language Processing in medical applications
Dialogue Systems
Voice assistants (mention shap-values)
Information Retrieval
Natural Language Generation Evaluation
Research Projects
AssistD: Followup project to AI-Based Digital Health Assistant (ALPHA-KI) starting march 2025.
MedTech: Open information extraction from Randomized Controlled Trials. In cooperation with MRI.
JADE: Jargon-Aware Detection and Enhancement
Teaching
(In reverse chronological order)
Term
Level
Title
Type
Role
WS25/26
Master
SEBA Lab Course
Lab course
Advisor
SS25
Master
Natural Language Processing - Methods and Applications
Seminar
Advisor
SS25
Master
Software Engineering for Business Applications (SEBA Master)
Afzal, A.; Mercier, A.; Matthes, F.: JaccDiv: A Metric and Benchmark for Quantifying Diversity of Generated Marketing Text in the Music Industry. In the Proceedings of the 9th International Conference on Innovation in Artificial Intelligence (ICIAI 2025). Singapore. Springer 2025.
