Over the past few months, three doctoral candidates from the Rottenberg group have successfully completed their PhDs: Cédric Walker (Computational characterization of the tumor microenvironment to identify prognostic and predictive biomarkers in ovarian cancer), Lea Lingg (Refining Precision Oncology: Understanding Mechanisms of Therapy Response in BRCA1;p53-Deficient Mammary), Tumors Demeter Túrós (Decoding Spatially Resolved Biology: Machine Learning Methods to Uncover Tissue Complexity). Congratulations to all!

Chrysalis, our new machine learning-based framework accurately infers cellular niches and underlying gene expression programs in the tissue using spatial transcriptomics data. It demonstrates robust performance across a diverse set of in silico benchmarks, real-world tissue samples, and spatial omics platforms.

Morgane Decollogny successfully defended her PhD thesis “Investigating the niche of drug-tolerant tumor-repopulating cells to eradicate residual disease in BRCA1;p53-deficient mammary tumors”. Congratulations!