About me
Yannik Schaelte
I'm an AI Scientist with a background in Mathematics and Software Engineering. I specialize in generative AI, NLP, and scalable inference. During my graduate research, I developed scalable methods combining machine learning and mechanistic modeling, to solve complex problems in biomedicine and beyond. Presently, I'm at DeepL, building models that redefine how we communicate across language barriers. I'm driven by a passion for creating useful tools that efficiently solve real-world problems.
Work Experience
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AI Research Scientist
DeepL, Munich, 2024-Present
Breaking down language barriers with AI
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AI & Data Analytics Consultant
Porsche Consulting, Berlin, 2024
Machine learning and data analytics solutions across industries, including causal inference and time series forecasting
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Team Leader & Postdoctoral Researcher
University of Bonn, 2021-2023
Led team on multi-scale modeling, combining machine learning and mechanistic modeling for biological systems. Visiting positions: University of Oxford (Sep-Oct 2022, with Ruth Baker), Mila Quebec AI Institute (Jul-Aug 2022, with Yoshua Bengio)
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PhD Student
Helmholtz Munich, 2017-2021
Developed scalable statistical inference methods for computational biology. Lead developer of open-source tools (pyABC, pyPESTO, PEtab)
Education
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PhD in Mathematics and Computational Biology
Technical University of Munich, 2017-2021
Grade: Summa Cum Laude (with distinction)
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MSc in Mathematics
University of Bielefeld, 2015-2017
Grade: 1.0 (GPA 4.0)
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BSc in Mathematics and Computer Sciences
University of Bielefeld, 2012-2015
Grade: 1.1 (GPA 4.0)
CV
For a full CV, just see my LinkedIn profile:
LinkedInContact
If you'd like to work with me or have any questions, just send me an e-mail or connect via social media.