I am a PhD student and research associate at the Chair of Statistical Learning and Data Science at the Ludwig Maximilian University Munich since July 2021. My PhD position is in collaboration with the clinical data science group at the Klinikum Großhadern.
I obtained a Bachelor's degree (B.Sc.) in Business Information Systems from the University of Applied Sciences Ulm and a Master's degree (M.Sc.) in Computer Science from the Ludwig Maximilian University Munich. My research interest is in the practical application of Machine & Deep Learning in the medical domain. I am particularly interested in representation learning and generative models.
Institut für Statistik
tobias.weber [at] stat.uni-muenchen.de
- Application of deep learning in medicine & computer vision
- Deep learning for radiological data
You Can Find me on
- Weber T, Ingrisch M, Fabritius M, Bischl B, Rügamer D (2021) Survival-oriented embeddings for improving accessibility to complex data structures. NeurIPS 2021, Bridging the Gap: From Machine Learning Research to Clinical Practice.
- Weber T, Ingrisch M, Bischl B, Rügamer D (2021) Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation. NeurIPS 2021, Deep Generative Models and Downstream Applications.