Mechanistic Learning as a combination of Machine Learning and Modeling in Mathematical Oncology (25w5448)


Sarah Brueningk (ETH Zurich)

Renee Brady (H. Lee Moffitt Cancer Center & Research Institute)

Kathleen Wilkie (Toronto Metropolitan University)


The Banff International Research Station will host the “Mechanistic Learning as a combination of Machine Learning and Modeling in Mathematical Oncology” workshop in Banff from January 5 - 10, 2025.

Within the field of oncology, computational modelling is an interdisciplinary pursuit. It employs mathematical techniques to deepen our insights into the development and individualized behavior of cancer, with the ultimate goal of leveraging this knowledge to enhance therapeutic outcomes. At the same time, data-driven techniques from the realm of artificial intelligence are driving scientific progress on several fronts, including oncology. While AI and modelling individually hold significant promise, it's reasonable to presume that combining these approaches could yield even more profound insights.

The Mechanistic Learning for Mathematical Oncology workshop brings together data scientists and mathematical modelling researchers to explore the potential for personalized cancer treatment from a multidisciplinary angle. By harmonizing data-driven insights and advanced modelling techniques, this collaborative event aims to make cancer care more tailored and effective by investigating novel synergistic algorithms that harness the strengths of both of these communities. The workshop will feature plenary lectures to provide an overview of the latest advancements, and it will also incorporate team projects to translate theoretical discussions into practical applications. Hence, the workshop will serve as a catalyst, inspiring ongoing collaboration among participants that proves advantageous for both contributing communities.

The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is a collaborative Canada-US-Mexico venture that provides an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station is located at The Banff Centre in Alberta and is supported by Canada’s Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), and Alberta’s Advanced Education and Technology.