Mr Dániel Keszthelyi
PhD candidate at PhD School of Life Sciences
Campus Biotech G6-N3
+41 22 37 90815
After a research career in natural sciences, Daniel shifted his interest toward machine learning and medical informatics. He holds a Bachelor degree in Computer Science from Budapest University of Technology, a Master in Geophysics from Eötvös Loránd University in Hungary, and a Master degree in Health Informatics from the Karolinska Institute in Sweden.
He is passionate about improving healthcare by modern tools and worked in several research and industrial projects involving NLP, medical knowledge engineering and interpretable machine learning. He joined the SIMED Data team in 2020 to work on creating intelligent patient summaries for healthcare professionals.
- Statistical Modelling
- Knowledge Engineering
- Natural Language Processing
- Knowledge Retrieval
- Hybrid Machine Learning Algorithms
- Decision Support Systems
- Interpretable Machine Learning