The Data Science & Health Lecture Series
The aim of this course is to introduce the doctoral researchers to the field and to give a basic understanding of all research areas of the school. In addition, it will train them to consider the different views and needs of data science and health-related sciences, and the opportunities for interdisciplinary cooperation.
This lecture is held by the PIs and Postdocs of the HIDSS4Health and invited speakers who cover additional themes. The course consists of lecture-style elements and an interactive discussion. It covers data science methods (e.g., clustering, image analysis, visualization, deep learning), domain-oriented methods (e.g., medical imaging, surgery, robotics) as well as ethical, legal and social implications.
Organization: The lecture Data Science & Health is offered online via and held in the winter term. The lecture takes place weekly and only attendance is documented. Currently, no further examinations are planned.
Lectures winter semester 2025/2026:
06.11.2025 (Thursday, 2:00 – 3:30 pm)
Emilia Grass – Cybergeddon in Healthcare
13.11.2025 (Thursday, 2:00 – 3:30 pm)
Ralf Mikut – Time Series Analysis in Healthcare
27.11.2025 (Thursday, 2:00 – 3:30 pm)
Katja Mombaur – Robotics in Healthcare
11.12.2025 (Thursday, 2:00 – 3:30 pm)
tba
18.12.2025 (Thursday, 2:00 – 3:30 pm)
Kris Dreher – Decoding Light: Applications of Machine Learning in Advanced Biophotonic Imaging
08.01.2026 (Thursday, 2:00 – 3:30 pm)
Johannes Bracher – Evaluation of Probabilistic Forecasts in Epidemiology
15.01.2026 (Thursday, 2:00 – 3:30 pm)
Nadja Klein – Bayesian Deep Learning: An Introduction and Application to Disease Progression
22.01.2026 (Thursday, 2:00 – 3:30 pm)
Andreas Ott – Topological and Geometric Methods in Omics Data Analysis
29.01.2026 (Thursday, 2:00 – 3:30 pm)
Junyan Lu – From Data to Discovery: Multi-Omics Integration in Precision Oncology
Sharing AI research. Sharing knowledge.
Researchers are cordially invited to present their work and perspectives in a free online lecture.
If you are interested, please submit a short abstract of your proposed talk to Viktoria Schwarze.
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