ETH Medals and Willi Studer Prizes for Master's graduates
Six Master's graduates from the Department of Computer Science have been honored with a distinction for their outstanding Master's theses and grades: four ETH Medals and two Willi Studer Prizes. Many congratulations to Anouk, David, Lara, Lenart, Stefan and Thomas!
We are pleased to announce that four Computer Science Master's students and two Data Science Master's students have graduated with distinction, receiving either an ETH Medal or the Willi Studer Prize. The silver ETH Medals honour outstanding Master's theses. The Willi Studer Prize, part of the bequest of entrepreneur Dr. h.c. Willi Studer, has been awarded since 1993 to the best student in each ETH Zurich Master’s degree programme according to the pertaining directives. The awards will be presented at the next Master's degree graduation ceremony.
Lara Bruseghini I ETH Medal
Thesis: Security Analysis of OpenPGP Specifications and Implementations
Supervisor: Prof. Kenny Paterson, Applied Cryptography
external page Website
Anouk Paradis I ETH Medal
Thesis: Unqomp: Quantum garbage collection with safe automatic computation
Supervisor: Prof. Martin Vechev, Secure, Reliable, and Intelligent Systems Lab
Website
Stefan Tiegel I ETH Medal
Thesis: SOS Degree Reduction with Applications to Clustering and Robust Moment Estimation
Supervisor: Prof. David Steurer, Computational Complexity, Optimisation, and Estimation
Website
Thomas Wolf I Willi Studer Prize
Thesis: Physical Simulation of Discrete Developable Surfaces
Supervisor: Prof. Olga Sorkine-Hornung, Interactive Geometry Lab
external page Website
Premiere for data science
For the first time, graduates from the new Master's programme in Data Science are among the prize winners. Congratulations!
David Deuber I Willi Studer Prize
Thesis: A Quantile Extrapolation Approach for Extreme Quantile Treatment Effect Estimation
Supervisor: Prof. Marloes Maathuis, Seminar for Statistics (D-MATH)
external page Website
Lenart Treven I ETH Medal
Thesis: Online Learning of Linear-Quadratic Regulators
Supervisor: Prof. Andreas Krause, Learning and Adaptive Systems
Website