People

This hub bundles expertise among ETH researchers and professionals across emerging areas like machine learning, cyber security, distributed ledger technology, digital currencies and quantum computing and translates that expertise into integrative research and education activities at master and professional level.

 

Lead

Prof. Dr Patrick Cheridito
Director 
Mathematics, RiskLab, D-MATH

Patrick Cheridito’s research interests lie in the analysis and application of stochastic models as well as machine learning methods for finance and insurance. 

Dr Bastian Bergmann
Executive Director
D-MATH

Bastian is responisble for the operations and strategic development of the Hub with a focus on education initiatives and outreach. He is lecturer with a focus on emerging technologies and the responsible use of it and the philosophy of AI and science. 

Members   

Prof. Dr Torsten Hoefler
Scalable Parallel Computing Lab, D-INFK  

Torsten Hoefler's research aims at understanding the performance of parallel computing systems ranging from parallel computer architecture through parallel programming to parallel algorithms. He is also active in the application areas of Weather and Climate simulations as well as Machine Learning with a focus on Distributed Deep Learning. In those areas, he has coordinated tens of funded projects and both an ERC Starting Grant and an ERC Consolidator Grant on Data-Centric Parallel Programming. 

Prof. Dr Hans Gersbach 
Macroeconomics: Innovation and Policy, D-MTEC

Hans Gersbach analyzes new designs for the financial architecture and for fiscal and monetary policy-​making, to deal with systemic risks. For this purpose, he embeds models of banking, systemic risk, and politics into new macroeconomic models, to examine their possible consequences.

Prof. Dr Arthur Gervais
Information Security Group, University College London

Arthur's research revolves around Security within the realm of Computer Science, with a particular interest in merging AI and financial incentives to appraise security measures and to understand the consequent adversarial motivations targeting system vulnerabilities in the domain of decentralized blockchain systems encompassing hardware, network, consensus, application and web layers.  

Dr Philipp Kammerlander
Lecturer ETH Zurich & Founder of 1q3 -- counting on qubits 

Philipp Kammerlander has been a lecturer at ETH Zurich since 2019. His interests lie in the area of quantum technologies and quantum information processing, in particular quantum computing and its applications. In 2024 he founded the company 1q3 -- counting on qubits, a consulting company advancing professional education with a focus on quantum technologies.

Prof. Dr Kenneth Paterson
Applied Cryptography Group, D-INFK

Kenny Paterson's research is mostly in the area of Cryptography, with a strong emphasis on the analysis of deployed cryptographic systems and the development of provably secure solutions to real-​world cryptographic problems. He co-​founded the Real World Cryptography series of workshops to support the development of this broad area and to strengthen the links between academia and industry. 

Prof. Dr Andreas Prein
High-Resolution Weather and Climate Modeling, D-USYS

Andreas Prein's work involves research and teaching on dynamically modeling the weather and climate system. Specifically, to gain a deeper understanding of the physical processes that contribute to changes in the frequency and intensity of extreme events in a warming climate. This encompasses changes across all scales of motion, from synoptic scales to microscales. His primary interest lies in regional and local-scale extreme events

Prof. Dr Josef Teichmann
Mathematics, Stochastic Finance Group, D-MATH

In recent work Josef Teichmann and his co-​authors develop machine learning tools for the financial industry. Deep hedging, for instance, is a project conducted jointly with investment bankers, where generic hedging tasks are solved by cutting edge machine learning technology in a fully realistic market environment, i.e. in the presence of market frictions and trading constraints. 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.

Prof. Dr Roger Wattenhofer
Electrical Engineering, DISCO - Distributed Computing Group, D-ITET

Roger Wattenhofer works on understanding risk in networks. The methods are a combination of algorithms, game theory, data science, machine learning, and building software. The topics change over time, and currently include fintech, economy, cryptocurrency, blockchain, e-​voting, democracy, and graph neural networks.

Prof. Dr Mario Wüthrich
Insurance Mathematics, RiskLab, D-MATH 

Mario Wüthrich's research is mainly in the area of actuarial data science and statistical learning. He has recently published the open access book "Statistical Foundations of Actuarial Learning and its Applications" in Springer Actuarial, and he is Editor-in-Chief of ASTIN Bulletin - The Journal of the International Actuarial Association.

Post Doctoral Researchers

Dr Aleksandar Arandjelović
ETH FinsureTech Hub, D-MATH 

Aleksandar combines fundamental research in stochastic analysis and machine learning with applications in quantitative finance, actuarial science, and climate-economy modelling. He actively develops methods for pricing, hedging, calibration, filtering, and (climate-) risk management using deep learning and generative modelling.

Dr Florian Kogelbauer
ETH FinsureTech Hub, D-MATH 

Florian works at the intersection of dynamical systems and the analysis of partial differential equations, with a particular focus on kinetic theory and statistical physics. He also explores applications of these areas to financial mathematics. In addition, he is interested in the use of machine learning methods for the study of complex systems and the scientific assessment of climate-related risks.

Dr Philipp Schmocker
Stochastic Finance, ETH FinsureTech Hub, D-MATH 

Philipp's research lies at the intersection of machine learning, stochastic analysis, and mathematical finance, with a particular focus on the theoretical foundations and applications of (random) neural networks. Philipp graduated with a Ph.D. in Mathematics (2025) from Nanyang Technological University (NTU), Singapore, and holds a Ph.D. in Economics and Finance (2022) from the University of St. Gallen. 

Guests

Prof. Damir Filipovic, EPFL, Visiting from September 2025 to February 2026

Prof. Andrea Macrina, UCL: Visitng from January 2025 and February 2025

Prof. Knut Kjaer, The Norwegian University of Life Sciences, Visiting in September 2024 

Prof. Arthur Gervais, UCL, Visiting from March 2024 to September 2024 

Prof. Dacheng Xiu, Department of Statistics, University of Chicago, Visiting September 2023

 

Former Researchers

Dr Florian Ofenheimer-Krach
Stochastic Finance, ETH FinsureTech Hub, D-MATH 
March - September 2025

Florian Ofenheimer-Krach is a Postdoctoral Researcher at the FinsureTech Hub. His work focuses on the intersection of machine learning and finance, as well as exploring fundamental research questions in machine learning through a mathematical lens. Florian supports the CAS Machine Learning in Finance and Insurance. 

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