Finn Schmidt
Doctoral Researcher
BIOGRAPHY
Finn completed his Bachelor’s degree in Mathematics at the Karlsruhe Institute of Technology and then pursued his Master’s studies at the University of Göttingen, focusing on Machine Learning. He wrote his Master’s thesis in Computational Neuroscience on Modeling dynamic neural activity by combining naturalistic video stimuli and stimulus-independent latent factors.
RESEARCH INTERESTS
Finn’s prime interest lies in the areas of
- Applied Natural Language Processing
- Domain adaptation of language models
- Multilingual Machine Translation
SHORT CV
02/2025 – present
Doctoral Researcher
Chair for Scientific Information Analytics, University of Göttingen, Germany
10/2022 – 12/2024
M.Sc. in Mathematics
University of Göttingen, Germany
07/2022 – 01/2023
Research Internship
Uniserv GmbH, Pforzheim
01/2022 – 06/2022
Semester Abroad
Reykjavík University
10/2018 – 09/2021
B.Sc. in Mathematics
Karlsruhe Institute of Technology
SELECTED PUBLICATIONS
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- Modeling dynamic neural activity by combining naturalistic video stimuli and stimulus-independent latent factors
Finn Schmidt, Suhas Shrinivasan1, Polina Turishcheva1, Fabian Sinz NeuReps @ NeurIPS 2024 , equal contribution: 1
PDF
- Modeling dynamic neural activity by combining naturalistic video stimuli and stimulus-independent latent factors
