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:

Building multi-turn, tool-using agents that can reason over longitudinal patient records, retrieve relevant evidence, and produce structured, citation-grounded clinical answers.
Improving model accuracy and interpretability with chain-of-thought traces and faithfulness evaluation.

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.

Apr 2026	New preprint out: Agentic clinical reasoning over longitudinal myeloma records.
Oct 2025	Our paper on Evaluating Reasoning Faithfulness in Medical Vision-Language Models using Multimodal Perturbations was accepted to the ML4H symposium in San Diego, CA, USA.
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.