Education
Master of Science in Statistics
ETH Zürich (Zürich, Switzerland) 09/2023 – Present
- Relevant Courses:
- Reliable and Trustworthy AI,
- Probabilistic AI,
- Conformal and Probabilistic Prediction,
- Fundamentals of Mathematical Statistics,
- Analysis of Variance and Experimental Design,
- Statistical Modelling, and
- Natural Language Processing.
- Master’s Thesis: Towards Practical Confidence Estimation for Compressed Sensing Models
- Developing confidence sequences and interpretable visualizations for CT and MRI reconstruction using diffusion models.
- Supervisors: Dr. Johannes Kirschner (Senior Data Scientist, Swiss Data Science Center) and Prof. Dr. Jonas Peters (Professor, Seminar for Statistics)
Bachelor of Science in Computer Science
Technical University Berlin (Berlin, Germany) 10/2019 – 03/2023
- GPA: 1.4 (scale 1.0–4.0, 1.0 is highest)
- Relevant Courses:
- Introduction to Artificial Intelligence,
- Cognitive Algorithms,
- Machine Learning 1,
- Stochastics for Computer Scientists, and
- Digital Image Processing.
Abitur
Wirtschaftsgymnasium Offenburg (Offenburg, Germany) 09/2011 – 06/2017
Work Experience
Lab Automation & Machine Learning Intern
Roche (Basel, Switzerland) 03/2024 – 09/2024
- Automated a key enzyme phenotyping workflow involving various devices (e.g., pipetting robots, LC–MS), designing end-to-end automation scripts to synchronize data acquisition, sample handling, and instrument control.
- Developed classical and deep learning–based drug–drug interaction prediction models, employing:
- CatBoost (fast gradient-boosted decision trees),
- ChemProp (direct molecular property prediction), and
- DGL-LifeSci–based graph neural network fingerprints (to capture complex molecular structures).
AI Research Assistant
Fraunhofer Heinrich-Hertz Institut (Berlin, Germany) 05/2022 – 10/2023
- Developed and deployed a deep learning–based heat-island simulation system for Dresden and Langenfeld.
- Built a high-resolution heat-island forecasting model, leveraging:
- A recurrent neural network for low-latency, point-wise forecasts.
- A custom attention mechanism for geospatial interpolation.
- Developed and maintained a REST API to serve predictions to external partners.
- Presented project outcomes and status updates to stakeholders (internal and external).
Teaching Assistant for Machine Learning Courses
Technische Universität Berlin (Berlin, Germany) 10/2021 – 12/2022
- Assisted a research project on gradient estimators and normalizing flows.
- Supported a core undergraduate ML course designed to build an intuitive understanding of fundamental concepts, their origins, and real-world applications.
- Guided students through basic cognitive capabilities of computer programs, including motion detection, classification, and categorization. Discussed applications such as:
- automated handwriting recognition,
- intelligent email spam filtering, and
- semantic information extraction from text.
- Contributed to lecture content on:
- supervised learning methods (linear classification & regression, kernel methods),
- gradient descent optimization,
- model selection (cross-validation),
- dimensionality reduction (PCA), and
- fundamentals of neural networks.
- Organized and graded exercises for the Python Programming for Machine Learning elective track, enabling hands-on practice with ML libraries and frameworks.
- Managed forum Q&A, clarified conceptual questions, and provided feedback on both theoretical and programming assignments to ensure students met learning objectives.
IT Administrator
TechLabs Berlin (Berlin, Germany) 09/2020 – 06/2022
- Managed technical on- and off-boarding of new management members and students.
- Configured and set up GitHub repositories (permissions, branching policies, CI/CD).
- Provided day-to-day technical troubleshooting for Linux- and macOS-based workstations.
ESL (English as a Second Language) Teacher
TPR English School (Zhuhai, China) 06/2018 – 06/2019
- Planned and delivered English lessons to beginner and intermediate students.
- Designed lesson plans, exercises, and assessments focusing on reading, writing, listening, and speaking skills.
Furniture Deliverer
Patti’s Hire & Absolute Party Hire (Sydney, Australia) 06/2017 – 04/2018
- Delivered various types of furniture and set up marquees for events and parties (weddings, corporate events, festivals).
- Coordinated logistics and scheduling to meet tight event timelines.
Projects
Rust Library: mini-mcmc
Open Source Project (Zürich, Switzerland) 03/2025 – Present
- Author and main contributor of mini-mcmc, an open-source Rust library implementing Markov Chain Monte Carlo (MCMC) algorithms, including:
- Hamiltonian Monte Carlo (HMC),
- Gibbs Sampling,
- Metropolis-Hastings, and
- No-U-Turn Sampler (NUTS).
- Focused on performance, safety, and ease of integration into probabilistic modeling pipelines.
- Repository: github.com/MatteoGaetzner/mini-mcmc
Bachelor Thesis
Technical University Berlin (Berlin, Germany) 06/2022 – 01/2023
- Title: Using the Generalized Doubly Reparametrized Gradient Estimator for Maximum Likelihood Training of Energy-Based Models
- Conducted an in-depth review of normalizing flows and gradient estimators in variational inference.
- Derived and experimentally evaluated the Forward-KL GDREG method.
- Focused on approximating trajectory distributions of quantum-mechanical particles in double-well potentials.
Technical Skills
- Operating Systems: Linux, macOS, Windows.
- Programming Languages: Python, Rust, C, SQL.
- Developer Tools: Git, CMake, Make, Docker.
- Frameworks & Libraries:
- PyTorch (DL research & prototyping),
- WandB, MLflow (experiment tracking & model management),
- FastAPI (production-ready ML-serving APIs), and
- GIS Libraries (e.g. Geopandas, Rasterio).
- Databases & Web Technologies: PostgreSQL, Nginx.
- Other Skills: Linux CLI tools, CI/CD practices, REST API design.
Languages
- German: Native.
- English: Fluent (IELTS Academic: 8.0 / 9.0).
- Chinese: Basic (HSK 4: 248 / 300).
Additional contact details available upon request.