Synergies of Machine Learning and Mathematical Modeling in Biology
Seminar in Mathematical Biology
(Summer term 2025)
"Synergies of machine learning and mathematical modeling in biology"
The integration of machine learning (ML) and mathematical modeling is revolutionizing biological research by offering powerful tools for data-driven discovery and predictive modeling. ML algorithms excel at detecting intricate patterns in high-dimensional biological data, while mathematical models provide mechanistic insights into biological processes. This seminar explores how the synergy between these approaches enhances applications in physiology, epidemiology, collective cell migration, and pattern formation. By merging data-driven learning with theoretical frameworks, these methodologies deepen our understanding of biological systems and drive advancements in medicine.
The seminar will introduce key concepts through oral presentations and discussions, with the final program determined during the kickoff meeting. It is designed for undergraduate and graduate students, as well as researchers from mathematics, physics, biology, medicine, and computer science who are interested in this highly interdisciplinary field.
Kickoff meeting and distribution of talks
April 23: 14.00-15.00
TALKS
June 4, 18, 25, July 2: 14.00-17.00
Location
APB-1096, Faculty for Computer Science, Nöthnitzer Str. 46
Organisers
Lutz Brusch, Andreas Deutsch, Siavash Ghiasvand, Michael Kücken, Simon Syga, Edwin Weinholtz
CIDS/ZIH, TU Dresden
Seminar website/Registration
https://bildungsportal.sachsen.de/opal/auth/RepositoryEntry/48598122503
Contact
Prof. Dr. Andreas Deutsch
Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH), TU Dresden