Visualizing Stem Cell Reprogramming
We train an Autoencoder on Cell Reprogramming Sequencing Data and visualize the Latent Space using an interactive UMAP.
I am a student at Heidelberg University interested in machine learning, scientific computing and its applications in Biology.
For those interested in the Knoty project, a Python Module dedicated to Legendrian Knots visualization, please access it here.
We train an Autoencoder on Cell Reprogramming Sequencing Data and visualize the Latent Space using an interactive UMAP.
Adapting a Vision Transformer to find image rendering settings suitable for HDR image editing from small training datasets.
Investigating the Behaviour of an MLP under a novel Skip Configuration.