Research Affiliates
Research Affiliates are ETH scientists with particularly close ties to the Risk Center. Often, they have been key actors of Risk Center activities (seminars, workshops, lectures, research projects, etc). They may use resources of the Risk Center and in exchange stand ready as expert interlocutors for the Center’s future projects.
Recognized for their scholarship in their respective fields, the Research Affiliates advance the Risk Center’s major research themes in collaboration with ETH faculty. While "Risk Center Research Affiliate" is not an honorary title, we would like to acknowledge the contributions they make to the intellectual life of the Risk Center.
The Affiliates
Dr. Sandra Andraszewicz
external pageSandra is a senior researcher and a project leader in behavioral finance at the Chair of Cognitive Science of ETH Zurich. She graduated from the University of Utrecht, University of Edinburgh, University of Basel and AGH University of Science and Technology in Krakow, where she studied cognitive sciences, statistical and empirical methods and risk management. Her research focuses on human behavior, risk taking, decision making, investment and impact of complex uncertain events on individual decision processes. Within the ETH Risk Center, Sandra supervised a project on expert judgment in the Risk Case Study Challenge with Credit Suisse, gives a regular a lecture for the course Introduction to Risk Modelling and Management and is a leading researcher in the Future Resilience Program at the Singapore-ETH Center. Also, she offers a course in understanding human behavior for Master of Advanced Studies (MAS) students. Sandra actively collaborates with the Risk Center partners, such as SwissRe and Zurich Insurance, based on educational and knowledge exchanges. He became a Risk Center Research Affiliate in March 2021.
Dr. Sebastian Becker
external pageSebastian is a postdoctoral researcher at the external pageRiskLab Switzerland. His main research is focused on the development of machine learning algorithms and numerical methods for high-dimensional problems with applications to finance. He became a Risk Center Research Affiliate in March 2021.
Dr. Volker Britz
Volker did his Ph.D. research on Game Theory at Maastricht University in the Netherlands. He moved to ETH Zürich in 2013. He is interested in Economic Theory as well as Machine Learning. In his research, Volker studies topics such as negotiations, systemic risk management, and democratic institutions. At the Risk Center, he is in charge of the course on Machine Learning in Finance and has represented the Executive Director in various managerial tasks. He became a Risk Center Research Affiliate in March 2021.
Dr. Stefan Frei
external pageStefan is Security Officer at external pageSIX Digital Exchange, and a lecturer at ETH Zurich. For more than 20 years Stefan has been working in cyber security at the interface of society, economy, and technology – on both the offensive and defenders’ side. He worked in the areas of penetration testing, security architecture, data analytics, security research, and threat intelligence at home and abroad. Stefan has a long track record of explaining and predicting emerging cyber threats & solutions. Stefan works for SDX Security and teaches Cyber Security and Networking Security at ETH Zurich. His past employers include Accenture Security, Swisscom, NSS Labs, Secunia, and ISS X-Force. He is a member of advisory boards and expert groups and frequently consulted by the press and media. He became a Risk Center Research Affiliate in March 2021.
Dr. Arnaud Goussebaile
Arnaud is a postdoctoral researcher in applied economics at the Chair of Integrative Risk Management and Economics, ETH Zurich. His research mainly focuses on decision-making related to environmental risks, with a specific interest for climate change and natural catastrophes. He teaches a course on the Economics of Climate Change in the Autumn semester at ETH. He became a Risk Center Research Affiliate in March 2021.
Dr. Yves Reuland
Yves is a postdoctoral researcher at the Chairs of Structural Dynamics and Earthquake Engineering and of Structural Mechanics and Monitoring, ETH Zurich. His research efforts focus on deploying machine-learning and probabilistic tools to fuse mechanics-based simulations, sensor-and-inspection data as well as regional exposure models to improve dynamic risk-and-consequence predictions for residential building stocks. Bridging the gap between advanced seismic performance evaluation of single structures and regionally aggregated modelling of asset portfolios, he studies the resilience of communities facing natural hazards. Trying to predict, and ultimately reduce, the societal consequences of earthquakes, he is particularly interested in the temporal dimension of risk and recovery, which is reflected by dynamic updates of seismic-risk predictions and implementation of early-warning approaches to increase short-term resilience and long-term functional recovery. Yves graduated in structural engineering at EPFL Lausanne with a PhD on risk-informed post-earthquake decision-making for buildings, using sensor data collected in buildings.