LUCID National Data Stream

Guillaume Obozinski graduated with a PhD in Statistics from UC Berkeley in 2009. He did his postdoc and held until 2012 a researcher position in the Willow and Sierra teams at INRIA and Ecole Normale Supérieure in Paris. He was then Research Faculty at Ecole des Ponts ParisTech until 2018. Guillaume has broad interests in statistics and machine learning and worked over time on sparse modeling, optimization for large scale learning, graphical models, relational learning and semantic embeddings, with applications in various domains from computational biology to computer vision.

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.

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.

Cyril joined the SDSC in 2022. He holds a Ph.D. in computational biology from Sorbonne University and the Institut Pasteur in Paris. There, he developed tools to detect changes in the 3D conformation of chromosomes and analyzed how it is altered during infection by bacterial pathogens. Before that, he received an MSc. in Bioinformatics from the University of Lausanne, where he worked on evolutionary genomics in insects. Over time, Cyril developed a strong interest in open and transparent scientific research. He is eager to promote good software and data management practice in research.

Hannah Casey is joining the ORDES team as Front-End Research Engineer after obtaining her BSc in Computer Science and MSc in Digital Humanities, both at EPFL. During her studies, she completed internships at the Bibliotheca Hertziana – Max Planck Institute for Art History in Rome and the National Institute of Informatics in Tokyo, focusing on data visualisation and analysis of cultural collections. Her work reflects a passion for interdisciplinary collaboration, merging her love for art and culture with her expertise in computer science.

Hannah has a keen interest in design thinking and user experience, aiming to create intuitive and visually engaging tools. Outside of work, she enjoys staying active as a member of a volleyball team and exploring the outdoors through hiking.

Robin joined the SDSC in 2022. He received an MSc. in Management, Economics & Consumer Studies from the University of Wageningen in the Netherlands. After his studies, he developed himself into a consultant in the area of ontology & linked data modelling, working mostly in the domain of local and national infrastructure projects. He has a great interest in standardization efforts in the field of semantic web technology standards and is actively working at SDSC with clients and collaborators to stimulate their adoption.

Alessandro holds an M.Sc. in Applied Mathematics from EPFL with a minor in Data Science. After his studies, he joined the SDSC as Data Scientist in April 2022, where he closely works with the academic community to enlarge and support the use of data science. Over the years he worked on a variety of topics, from extreme events modeling to time series representation. His main interest lies in the application of machine learning to the energy sector.

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.

David joined SDSC in February 2024. Before that, he completed his doctorate in computer vision at ETH Zürich. His doctoral thesis focused on multi-task learning and domain adaptation in neural networks for applications in visual recognition. In addition, he gained research experience in transfer learning and multi-modal learning. David’s current work at SDSC ranges from large-scale vegetation modeling based on satellite imaging to analysis of electronic health records with deep learning methods.

Paul joined the SCSC in July 2023. He received a PhD in Computer Science from EPFL, focusing on sampling and optimisation algorithms, Causality, robust Machine Learning and Reinforcement Learning. Prior to his PhD, he obtained a Bachelor degree in Physics and a Master in Computational Science and Engineering at EPFL. During his studies, he focused on the numerical integration of Ordinary and Stochastic differential equations, in addition to Machine Learning.

Jimena joined SDSC as Frontend designer in November 2022. She is an all-round creative graphic designer with in-depth knowledge of typography, branding, user interface & user experience. Her job at Renku include close collaboration with the product manager, developers and engineers to gather requirements from users before designing ideas that can be communicated using storyboards, process flows, sitemaps, personas, sketches, wireframes, mockups, prototypes and user test. She combines design, creativity and new technologies with focus on solving problems for the end-user and creating user-friendly interfaces according to GUIs.

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.

Martin joined the SDSC in October 2019 to work on the Swiss Data Custodian project as a computer scientist. He obtained a BSc and a MSc in Communication Systems from EPFL. His great interest for Cyber security led him to specialize in Information Security and Privacy during his master. At the end of his studies, he did an internship where he coupled machine learning and security to develop a tool to automatically analyze log files and detect behavioural anomalies. After that, he came back to EPFL for his master thesis, where he investigated Website Fingerprinting, an attack aiming at breaking the privacy of Tor and other encrypted and anonymous networks.

Gabriel Nützi is joining the ORDES team as Senior Software Research and Development Engineer. During his MSc and PhD at ETH Zurich, Gabriel conducted research in non-smooth granular dynamics, focusing on high-performance computing in C++. He has several years of experience in the medical field, where he developed geometrical algorithms for dental CAD systems and contributed significantly to CI/CD, build systems, and containerization for micro-service cloud architectures. Gabriel is passionate about open-source software and actively contributes to several projects. He enjoys tackling complex technical challenges and promoting best practices, efficient workflows, and new technologies. Sharing knowledge and continually expanding his expertise in modern programming languages such as Rust and Go, as well as innovative operating systems like NixOS, is a daily passion for him. In his leisure time, Gabriel enjoys climbing, wind-surfing, pump-foiling, biking, and composing music.

Luana Martelli starts as a Security Expert for ORDES 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.