Data Science / Representation Learning and Data Visualization
We develop machine learning tools for visualizing high-dimensional data such as single cell transcriptomics, clinical images, or scientific texts.
Ifeoma Veronica Nwabufo
Ifeoma Nwabufo uses machine learning to solve problems in health, currently exploring self-supervised methods for embedding medical images. She is a…
Camila Roa
Camila Roa uses self-supervised learning to build representation spaces for retinal image datasets, and then visualises them in 2D using neighbor…
Dr. Ziwei Huang
Ziwei Huang is a scientific software developer at the Hertie AI. Previously, he studied psychology in China and neuroscience in Norway and Germany. He…
Rita González Márquez
Rita González Márquez uses machine learning to learn meaningful representations of text data, and to explore what makes a representation good in the…
Dr. Jan Lause
Jan Lause works on neural computations in the retina, especially how the enigmatic group of amacrine cells shapes the signals that the retina sends to…
Alumni
Dr. Dmitry Kobak
Dmitry Kobak is a group leader in the Department of Data Science at the Hertie Institute for AI in Brain Health at the University of Tübingen. He is…
Jan Niklas Böhm
Nik was a PhD student in the Department of Data Science at the Hertie Institute for AI in Brain Health at the University of Tübingen and the IMPRS-IS…