Lecturers & Guest Speakers
Gain a comprehensive perspective on Machine Learning with insights from CEO-level strategies to the hands-on expertise of project managers and data architects. You will engage with all key stakeholders in the field, ensuring a well-rounded understanding of how Machine Learning is transforming organizations at every level.
Academic Lead & Lecturers
Prof. Dr. Patrick Cheridito, Professor of Mathematics, ETH Zürich
Academic Director
Patrick Cheridito’s research interests lie in the analysis and application of stochastic models as well as machine learning methods for finance and insurance.
Prof. Dr. Josef Teichmann, Professor of Mathematics, ETH Zürich
Academic Director
In recent work Josef Teichmann and his co-authors develop machine learning tools for the financial industry. Further projects include deep calibration, deep simulation, and deep prediction. Theoretical foundations from approximation theory and stochastic analysis accompany successful concrete implementations to make such approaches eligible for industry applications.
Dr. Bastian Bergmann, Executive Director, FinsureTech Hub
Programme Lead & Lecturer
Bastian is responisble for the CAS Programme and the Hub with a focus on education initiatives and outreach of the Hub. He is lecturer at the Department of Mathematics and leads Block II and Block III of the CAS.
Dr. Andrea Ferrario, Senior Researcher at the Institute of Biomedical Ethics and History of Medicine, University of Zurich
Andrea's research focuses on epistemological and ethical issues of AI in healthcare, and the use of machine learning in affective computing and cognitive sciences. In the the CAS, he teaches statistical learning frameworks and various machine learning methods, including deep learning, and covers “AI ethics,” providing methods and examples of how to develop responsible AI systems that enhance explainability and foster trust in AI.
Mentors
The role of the mentor is to support you on your Innovation Project. Background and focus of the mentors vary from more technical background to mentors with a more strategic role and senior experience. This will allow to offer individualized mentoring, tailored
to the individual projects characteristics.
