Johannes Moll

Currently I am a PhD candidate at the Technical University of Munich supervised by Daniel Rueckert and advised by Keno Bressem, Lisa Adams, and Jiazhen Pan.

My research includes two major threads:

developing vision–language models to improve healthcare outcomes.
evaluating models for clinical applications, with an emphasis on assessing reasoning, faithfulness, and reliability of LLMs and VLMs in real medical use cases.

bio

Prior to beginning his PhD, Johannes spent six months as a research assistant at the Artificial Intelligence in Medicine & Imaging (AIMI) center at Stanford University, where he was supervised by Curtis Langlotz and Jean-Benoit Delbrouck.

Aug 2025	Our paper on Structuring Radiology Reports: Challenging LLMs with Lightweight Models was accepted to the EMNLP2025 main conference in Suzhou, China.
Jul 2025	Presented our work on Automated Structured Radiology Report Generation at the ACL2025 main conference in Vienna, Austria.
Jun 2025	Started my PhD at the Chair of AI in Healthcare and Medicine at Technical University of Munich.
May 2025	Finished my M. Sc. degree at Technical University of Munich with high distinction.