curriculum vitae

Bachelor of Science in Mathematics

ETH Zürich

Current grade average: 5.8 / 6.0. Spent a wonderful spring semester 2025 on exchange at UC Berkeley
Coursework Fall 2025
• Functional Analysis I
• Information Theory I
• Markov Processes
• Introductory Mandarin
• Seminar on Statistical-to-Computational Gaps
• Probability Theory
• Fundamentals of Mathematical Statistics
Coursework Spring 2024
• Dynamical Systems and Ergodic Theory
• Fourier Theory and Hilbert Spaces
• Mathematics of Signals, Systems, and Learning
• Probability and Statistics
• Topology
Coursework Fall 2023
• Deep Learning (graduate level)
• Measure Theory
• Algebra I
• Complex Analysis
• Numerical Analysis I
Coursework Spring 2023
• Linear Algebra II
• Real Analysis II
• Models of Computation
• Group theory, Zermelo–Fraenkel set theory and logic
• Chemistry (audited)
• Introduction to Biology II (audited)
Coursework Fall 2022
• Linear Algebra I
• Real Analysis I
• Neuromorphic Engineering I (graduate level, dropped after one month)
• Physics I
• Introduction to programming

Maturitätszeugnis / Swiss high school diploma

Gymnasium Bäumlihof, Basel

• Founded and lead a club in which motivated students could learn competitive programing and computational thinking
• Skipped two grades
• Graduated with highest praise and a grade average of 5.55 / 6.0, receiving the "Basler Maturapreis"

University of California, Berkeley

Independent work from exchange semester

• Proved optimality of the KL divergence estimator introduced by John Schulman that is used in PPO and GRPO
• Blogpost: A small observation on Schulmann's KL divergence estimator

ETH Zürich

Project as part of graduate-level course on Deep Learning

• Worked on enhancing representations of heterophilic graphs, a type of graph with which Graph Neural Networks commonly struggle
• I implemented and ran various experiments with PyTorch Lightening to investigate the performance of our proposed modifications. With these modifications, we surpassed the state-of-the-art accuracy of 91.64% by over three percent on the heterophilic dataset Minesweeper

Massachusetts Institute of Technology

Only central European student selected for the Research Science Institute 2021

• Designed, programmed and conducted experiments to demonstrate the feasibility of a supplemental approach to training artificial neural networks under supervision of Prof. Lizhong Zheng
• Click here for a presentation recording and here for the report

ETH Zürich

Eight week full-time internship under supervision of Prof. Patrick Jenny

• Optimized and implemented code for numerical fluid simulations in order to simulate airflow in lecture halls
• Designed and implemented a novel tool to edit the simulation meshes
• This work is in the process of being published with me as third author

• Awarded membership to the Swiss Study Foundation
• Invited to hold a talk on "Progress, machine learning, and why to be optimistic about the future" at the Zurich Undergraduate Colloquium in Physics and Mathematics

• Gold medal and second place at the final round of the Swiss Olympiad in Informatics, representing Switzerland at the International Olympiad in Informatics in Indonesia
• Basler Maturapreis by Novartis. Selected for this price for ”outstanding dedication and accomplishments, socially and academically” out of a class of 111 students
• 15th place nationally in the second round, participating in the week-long final round involving various theoretical and laboratory exams

• Second place at the final round of the Swiss Olympiad in Informatics and therefore qualifying for the International Olympiad in Informatics held virtually by Singapore