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.