ACROSS

As an EPFL Life Science Engineer, my main interest is to do science with an impact. FAIR principals guide my work style, and I strive for user-centric infrastructure to encompass data science in the biomedical and governmental spheres. I have experience in Global Health, working with multi-hospital surveillance system for pandemics, as well as training data scientist (thegraphcourses.org). My core side-interests lie in ocean conservation notably cetacean conservation, biodiversity, and untreated health problematics from lower and middle income countries. I have solid hard skills in problem-solving, data engineering in AI/ML, and have developed soft skills in creativity and social integration. I have acquired domain knowledge in a diversity of fields: from biology-related sciences such as human gut microbiology, epidemiology, and environmental sciences, as well as social sciences such as anthropology and psychology. I am always happy to engage with new people on innovative and impactful thematics so please do reach out!

Stefan has a background in Biology and decided to move towards evolutionary bioinformatics for both his MSc and PhD.Over the years, he developed a passion for the entire data analysis process: from collecting data, to analyzing and presenting results. Presentations, particularly opportunities for public speaking, are activities he enjoys since he values communication a lot. In order to follow this passion and deepen his knowledge on systems to collect and manage data, he joined SDSC in 2023 as a Biomedical Data Engineer.Outside work, Stefan is an avid reader of sci-fi books (but not only!), enjoys swimming, running, and biking both competitively and casually and enjoys plenty of activities with friends, especially when beer is involved.

Almut Lütge joined the ORDES team in Zurich as Biomedical Data Engineer, in January 2024.

Almut did both her Bachelor and Master in molecular biotechnology with a major in bioinformatics at the University of Heidelberg in Germany.

After her masters she worked as a research assistant on population genetics at the NTNU in Trondheim, Norway.

In 2018 Almut started her PhD about benchmarking of single cell analysis tools at the University of Zürich, followed by a short PostDoc in pharmaceutical immunology at ETH Zürich.

Almut enjoys data-driven problem-solving and highly value open science.

Isione Bonvalot joined the SDSC in October 2025 as a Data Scientist in the Innovation team, based in Lausanne.

Isione holds a Bachelor’s degree in Microengineering and a Master’s in Robotics from EPFL. She gained international and industry experience through a Master’s internship in Sri Lanka and her Master’s thesis project at Melexis in Switzerland, supervised by the Swiss Data Science Center. Isione has also been a volunteer firefighter for five years. Passionate about the outdoors, Isione enjoys climbing, ski touring, alpinism, and mountain adventures, and when indoors, she is an avid strategy board game player.

Luana Martelli worked as a Security Expert for the ORDES / Infrastructure team. After completing her M.Sc. in IT security at the HES-SO, Luana worked a few years in the industry as a consultant, doing security assessment for companies. She has a great interest in programming and cryptography.

Raphaël Matusiak joined the SDSC in January 2021 as a Data Scientist in the Innovation team, based in Lausanne.

Raphaël worked for 6 years as an engineer in biomedical research labs. Performing a lot of image analysis for microscopy experiments, its curiosity led him to learn about Data Science. Therefore, he joined a consulting company and worked on several projects, notably one within Air France Company, on a predictive maintenance project and a shorter one on an NLP PoC. Since the beginning of 2021, Raphaël is working in the SDSC industry team.

Oksana is a disruptive innovator bringing her positive energy to projects. Driven by her curiosity and can-do attitude she excels in industrial and academic contexts. Oksana earned her PhD in Life Sciences and Bioinformatics from the University of Lausanne after two MSc in Bioinformatics and in Information Systems from the University of Geneva. For more than 10 years, she has been committed to actively promoting the value of data science and advocating the best practices for reproducible and ethical research. She believes that Swiss Data Science Center is a key player in building a competitive data economy in Switzerland leveraging its innovative potential and renown commitment to quality.

Federico holds a M.Sc. in Engineering and a Ph.D. in Sustainable Development and Innovation Engineering. After a three-year Postdoc in Environmental Data Mining at the University of Lausanne, in 2021 he joined the Swiss Data Science Centre, where he now works as Principal Data Scientist supporting the acceleration of the digital transformation within industries, NGOs and public bodies. Over the years he worked on the development of methodological tools to mine and model big spatiotemporal datasets. He has deep competencies in applied statistics, machine learning, geocomputation, spatial statistics, remote sensing.