About
Conor Fallon is a PhD student and research assistant at DATEXIS, which he joined in March 2022. Previously he studied English Literature and Mathematics in Trinity College Dublin, and in the past has worked as a mathematics tutor. He spends his free time cycling around Berlin in an effort to sample as much of the city’s food as is humanly possible. He also reads and writes.
Education
- Master’s in Data Science — Berliner Hochschule für Technik (BHT), Berlin
- Trinity College Dublin — English Literature and Mathematics (BA)
Research Interests
- Clinical NLP
- Interpretable & Prototype-Based Machine Learning
- Clinical Outcome Prediction
- LLM Evaluation & Robustness
- Trustworthy AI in Healthcare
Technical Skills & Methods
- Prototypical Networks
- NLP for Clinical Text
- Benchmark Design for LLM Evaluation
Current Research and Projects
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active
COMFORT is a Horizon Europe research project developing trustworthy, multimodal AI models to support the diagnosis and treatment of prostate and kidne…
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active
TWIN-X develops trustworthy and explainable digital patient twins that integrate clinical narratives, medical imaging, laboratory and pathology data t…
Publications
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2026
LREC
Bogdan Kostic, Conor Fallon, Julian Risch, Alexander Löser
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2025
TMLR
Jens-Michalis Papaioannou, Alexei Figueroa, Conor Fallon, Anna Capilla, Alexandra Bekiaridou, Stavros Zanos, Wolfgang Nejdl, Alexander Löser
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2024
npj Digital Medicine
Dennis Fast, Lisa C. Adams, Felix Busch, Conor Fallon, Marc Huppertz, Robert Siepmann, Philipp Prucker, Nadine Bayerl, Daniel Truhn, Marcus R. Makowski, Alexander Löser, Keno K. Bressem
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2024
NAACL
Tom Roehr, Alexei Figueroa, Jens-Michalis Papaioannou, Conor Fallon, Keno K. Bressem, Wolfgang Nejdl, Alexander Löser
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2024
ECML/PKDD
Alexei Figueroa, Jens-Michalis Papaioannou, Conor Fallon, Alexandra Bekiaridou, Keno K. Bressem, Stavros Zanos, Felix A. Gers, Wolfgang Nejdl, Alexander Löser