Modular High Performance Computing and Artificial Intelligence

Dr. Matthias Becker

Group members

Titel

Name

Position/Tätigkeiten

Kontakt

  Elke Schubert Office Assistant elke.schubert(at)dzne.de
  Shubhi Ambast PhD Student shubhi.ambast(at)dzne.de
  Charles Mwangi Kaumbutha PhD Student

charlesmwangi.kaumbutha(at)dzne.de

  Karola Mai PhD Student karola.mai(at)dzne.de

Alumni

Title Name

Former Position

Current Position

Dr. Marie Oestreich

Postdoc

Now: Software Consultant at TNG Technology Consulting

 

Shubhi Ambast

I am interested in applying deep learning methods, particularly graph neural networks, to unravel complex biological insights from datasets such as those generated by single-cell transcriptomics. I am also intrigued by the use of explainable AI to interpret and validate my research, providing a deeper understanding of the underlying biological mechanisms in healthcare research.

Karola Mai

My research focuses on the PriSyn project, where I evaluate the biological plausibility of generated synthetic scRNAseq data and work on integrating scRNAseq data with genotype information. Additionally, leveraging my hands-on experience in flow cytometry, I now use machine learning methods to enhance the standardisation and scalability of flow cytometry data analysis.

Charles Mwangi Kaumbutha

My research interest is in Meta-Data Analysis particularly addressing missing data. Currently, my primary focus is examining evaluation metrics for imputation methods, to ensure quality downstream machine learning tasks such as classification.