Stanislaus Stein

Biography

I completed my Bachelor's and Master's degree in Mathematics at the Ruprecht-Karls University of Heidelberg, where I specialized in Scientific Computing and Statistical Geometry. I then worked as a researcher in Simon Anders' lab at BioQuant, developing geometric methods for trajectory inference in single-cell transcriptomics. Using diffusion maps, Fermat distances and the Hessian spectra of learned score functions, I aimed to infer the underlying tree topology of differentiation datasets. I also dabbled in sequence-to-function models with a specific focus on predicting chromatin accessibility based on CpG site methylation. I am now a PhD student at EMBL-EBI as part of the ProtAIomics MSCA Doctoral Network, where I work on ML-based analysis of mass spectrometry data.

Research Interests

I believe that biology currently is the richest domain of the computational sciences in both complexity and application. To answer questions about life and disease, one must constantly move on the spectrum ranging from the basics of molecular biology, its formalization into mathematical concepts, the algorithms that process it, and sometimes all the way down to computer engineering to ensure that the methods actually run in reasonable time. For me this is a big puzzle of digging into the biology and finding the right mathematical objects that capture the essence of the processes happening, while keeping in mind which questions actually need answering and which can be answered.

Professional Career

Education

Contact Information