Enabling data-driven science & innovation for societal impact

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.

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.