If statistics is the grammar of science, we should use it to try to understand the different factors of neurological disorders.
Moritz Seiler
Moritz Seiler holds a degree in Business Administration (B.Sc.) from the University of Bayreuth and in Statistics (B.Sc.) from the Ludwig Maximilian University of Munich. He also studied Computational Statistics and Machine Learning at University College London and received a Master of Science degree in 2018. His research focuses on representation learning in neuroimaging using artificial neural networks to decipher diseases progression in neurological disorders.
If statistics is the grammar of science, we should use it to try to understand the different factors of neurological disorders.
Present Positions And Title
PhD Student
Research Groups
Email Address
Career
| Period | Institution | Role |
|---|---|---|
| Since 2026 | Hertie Institute for AI in Brain Health, University of Tübingen | PhD Student |
| 2019 - 2025 | Charité – Universitätsmedizin Berlin | PhD Student |
Academic Education
| Year | Degree | Institution | Field of Study |
|---|---|---|---|
| 2018 | M.Sc. | University College London, United Kingdom | Computational statistics and machine learning |
| 2017 | B.Sc. | Ludwig Maximilian University of Munich, Germany | Statistics |
| 2013 | B.Sc. | University of Bayreuth, Germany | Business Administration |