Marina Garcia de Lomana


Graduate Student



Thesis outline: My work is about developing machine learning models for the prediction of in vivo toxicity endpoints. More specifically, I investigate how biological descriptors (i.e. activity of the compounds in several in vitro assays) can be combined with chemical descriptors to improve the predictivity of in vivo toxicity endpoints.

PI: Johannes Kirchmair