Learn to know our amazing experts
Daniel is responsible for research projects and academic relations. He has a passion for advanced data science, machine learning and artificial intelligence in R&D, innovation, quantum technologies, sustainability, and security contexts. Daniel is inspired by working on challenges in interdisciplinary teams, collaborations, and hackathons. He holds a PhD in particle physics and was researcher at CERN on big data and advanced data analytics. Previously he worked on strategic technology foresight projects with the United Nations and analyzed global aviation data in a startup he co-founded.
Vincent joined Swisscom as a Master Thesis student at the Digital Lab, focusing on Knowledge Graph representation and more generally on Representation Learning. He later joined the Flywheel ML Engineering team as a data scientist and now leads the Master Thesis projects to get the best results.
Natalie joined Swisscom as a Master Thesis student at the Digital Lab, focusing on Churn Detection and more generally on Classification under High-class Imbalance. She later joined the Flywheel ML Engineering team as a data scientist and helps supervise the technical aspects of Master Thesis projects.
Emma joined Swisscom as a Master Thesis student at the Digital Lab, focusing on Fairness in Classification. She later became the first data scientist for the HR department, exploring the opportunities lying in the HR data and promoting fairness and diversity initiatives. She now shares the lead of a team aimed at promoting and implementing Machine Learning initiatives in the entire organisation and drives a Data Literacy Education Initiative.
Andreea Hossmann is responsible for the development of data products as Principal Product Manager for Data, Analytics and AI at Swisscom. She is also a Venture Associate, working with Swisscom Ventures to assess AI startups worldwide. Prior to her Product Management career, Andreea was a Senior Data Scientist, before assembling and leading a Data Science team to work on AI topics, such as natural language understanding and search. She is an experienced researcher with a background in applied machine learning, network science and computer networking from her PhD education at ETH Zürich.