Maria Chernigovskaya is a PhD candidate supervised by Prof. Victor Greiff and Prof. Geir Kjetil Sandve at the University of Oslo, Norway. Maria is working on a methodology for simulating synthetic adaptive immune receptor repertoire (AIRR) datasets to guide the development and benchmarking of AIRR-based machine learning
Milena Pavlović is a postdoctoral researcher in the Sandve lab at the University of Oslo working on machine learning, causal inference, and their application to biomedical domains. During her PhD, Milena developed the immuneML platform for the analysis of adaptive immune receptors and repertoires (AIRR), focusing on model robustness and reproducibility, and examined how the knowledge of the data generating process and the causal inference framework could improve AIRR machine learning diagnostics.
