About me
I am a French and Swiss first-year Master’s student in Data Science at EPFL, pursuing a minor in Financial Engineering. Curious and eager to learn, I enjoy discovering new things and adapt quickly to different environments. I completed a two-month internship at Adequasys as an Artificial Intelligence Intern and currently work part-time in the Poseidon IT department at EPFL. My main interests lie in data science, financial engineering, programming, and mathematics.
🎓 Education
École Polytechnique Fédérale de Lausanne (EPFL)
M.Sc. in Data Science with a Minor in Financial Engineering
📍 Lausanne, Switzerland — 2024 – Present
École Polytechnique Fédérale de Lausanne (EPFL)
B.Sc. in Communication Systems
📍 Lausanne, Switzerland — 2020 – 2024
Lycée Louis Lachenal
French Scientific Baccalauréat with Honours (Mention Très Bien)
📍 Annecy, France — 2017 – 2020
💼 Experience
Poséidon
Level 1 and 2 Support in the Poseidon IT Department at EPFL
📍 Lausanne, Switzerland — Sep. 2024 – Present
- Provided technical assistance to students and staff to resolve IT issues.
- Diagnosed and repaired computers, addressing both hardware and software aspects.
Adequasys
Artificial Intelligence Intern
📍 Chavannes-de-Bogis, Switzerland — Jul. 2024 – Aug. 2024
- Design, development, and deployment of a chatbot on Teams using Copilot Studio for managing absence requests and accessing employee information.
- Integration of Adequasys’ internal API to retrieve and process data in real-time.
- Optimization of chatbot interactions using advanced prompting techniques and generative AI.
- Implementation of a secure authentication system via JWT and Microsoft Entra ID.
- Writing detailed and structured documentation to ensure effective knowledge transfer.
École Polytechnique Fédérale de Lausanne (EPFL)
Teaching Assistant - Artificial Intelligence
📍 Lausanne, Switzerland — Feb. 2024 – Jun. 2024
- Answered students’ questions to clarify course concepts and guided them in solving exercises.
- Participated in grading assignments and exams, as well as monitoring tests.
École Polytechnique Fédérale de Lausanne (EPFL)
Teaching Assistant - Mechanical Physics
📍 Lausanne, Switzerland — Sep. 2022 – Dec. 2022
💼 My projects
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🧠 Hedemon – Verifiable Pokémon Card NFTs Using Hedera Hashgraph
📍 EPFL – BSA Hackathon (2025)
🏆 4th Place & 500 CHF Cash Prize
Hedemon is a blockchain-powered platform that transforms physical Pokémon cards into verifiable NFTs using Hedera Hashgraph. The platform ensures authenticity, ownership, and privacy by integrating cryptographic hashing, smart contracts, and machine learning. Developed during the Privacy and Verifiability Hackathon at EPFL, it won 4th place and a 500 CHF cash prize.
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🎬 From Screen to Heart – How Do Emotions Shape the Cinematic Landscape?
📍 EPFL – Master in Data Science, Year 1 (2024)
🏆 Selected among the Top 10 Projects (out of 100+ teams)
This project investigates the emotional dimensions of storytelling using a large corpus of over 11,000 movie summaries enriched with 450,000 IMDb reviews. We used HuggingFace’s Emotion DistilRoBERTa model to extract primary emotions (joy, sadness, fear, anger, surprise, disgust, neutrality), then applied statistical correlations, PCA, and K-Means clustering to map emotional trends across genres and narratives.
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📈 Multi-Horizon Volatility Forecasting using ODEs and Cross-Stitch Networks
📍 EPFL – Master in Data Science, Year 1 (2024)
We developed a hybrid neural architecture for predicting multi-horizon volatility in high-frequency trading using the FI-2020 dataset. The architecture combines ODE networks and Cross-Stitch networks to model complex temporal dynamics in financial data. Our ODE-based Cross-Stitch model outperformed the Temporal Fusion Transformer, a state-of-the-art baseline.
👉 See all my projects on the Projects page.
📬 Contact
Feel free to reach out to me for any inquiries, collaborations, or just to say hello!
Email: contact@matthiaswyss.fr
LinkedIn: linkedin.com/in/matthiaswyss
GitHub: github.com/matthias-wyss
Tel: +33782836003