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MSc Computer Science @ ETH Zürich
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Databricks
Data Scientist
June 29, 2026 – Present
active_diffusion_models
January 5, 2026 – Present
Implementation of Active Flow Expansion (ActFlow), preprint: https://arxiv.org/abs/2606.08802
View Projectdiffusiongym
September 11, 2025 – Present
Diffusion Gym: Library for reward adaptation of any pre-trained diffusion or flow matching model on any data modality.
View Projectadapter-guidance-distillation
May 4, 2025 – September 3, 2025
[TMLR 2025] Official implementation of "Efficient Distillation of Classifier-Free Guidance using Adapters"
View Projectmap-dit
October 31, 2024 – June 11, 2025
[NeurIPS 2025, OPT] Official Implementation of: Exploring Magnitude Preservation and Rotation Modulation in Diffusion Transformers
View Projectinkscape-figures-manager-rs
February 13, 2024 – March 10, 2024
Shortcuts for making technical figures fast in Inkscape, in macOS.
View Projecteth-cs-notes
January 21, 2024 – February 7, 2025
Summaries/notes for various courses of the MSc Computer Science program at ETH Zürich.
View Projecteth-algorithms-lab
December 29, 2023 – November 16, 2024
Solutions for the Algorithms Lab (2023) course problems at ETH Zurich.
View Projectthesis-pai-reconstruction
April 13, 2023 – Present
Implementation of various image-to-image translation models for photoacoustic imaging reconstruction.
View Projectlinalg.dev
June 15, 2022 – July 8, 2023
A web application for visualizing and editing linear algebra problems in three dimensions with a node environment.
View Projectstock-market-prediction-via-google-trends
May 29, 2020 – May 22, 2023
Attempt to predict future stock prices based on Google Trends data.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards academic research and personal projects in advanced machine learning, which aligns well with an innovative and research-driven culture often found in Data Science roles. The breadth of technologies used (Python, Rust, C++, TypeScript, TeX) shows versatility. However, the lack of team-based or industry-specific projects (beyond the current Databricks role with no details) makes it challenging to fully assess cultural fit for collaborative enterprise environments.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a strong drive for independent research and implementation. The focus on academic publications and complex technical challenges indicates a detail-oriented and persistent work attitude. However, without specific psychometric test results or interview data, it is difficult to assess collaboration, stress handling, or communication clarity in a team setting.