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Philip Winter

Dr. Philip Winter has been working as a Machine Learning researcher in the Biomedical Image Informatics Group at VRVis since 2022.

He is a researcher in the fields of machine learning and astrophysics and contributes to a variety of ML/DL-related scientific projects, including continual learning, semantic segmentation, computer vision, generative modeling, medical applications, and certification, in cooperation with companies such as AGFA Healthcare, TÜV Austria, and Audi.

He studied astrophysics at the University of Vienna (BSc & MSc) and the University of Tübingen (Dr.), as well as machine learning at JKU Linz.

Moreover, he is experienced in simulating astrodynamical processes such as gravitational n-body systems and plastic-elastic collision processes for planet formation.

Resources

  • 5th AI Winter School of the Austrian Academy of Sciences (ÖAW) 2026

    EN
    The 5th AI Winter School of the Austrian Academy of Sciences (ÖAW) 2026 includes presentations on key AI topics. Christopher Pollin presents ‘Vibe Coding & Promptotyping’ as AI-assisted approaches to software development without extensive programming skills. Patrick Rarivoson discusses ‘Open EuroLLM’, focusing on open European language models and digital sovereignty. Philip Winter introduces ‘Bias in ML’, explaining forms, consequences, and strategies for mitigating bias in machine learning.
    Authors
    • Marlene Albrecht
    • Christopher Pollin
    • Philip Winter