Regular biography
Maria Brbic is a Tenure Track Assistant Professor in the Department of Computer Science at École Polytechnique Fédérale de Lausanne. Her research focuses on machine learning for biomedical applications, with an emphasis on data analysis and transfer learning. She teaches courses such as Applied Data Analysis and Transfer Learning and Meta-Learning. Her work involves mentoring current PhD students and contributing to various educational programs at EPFL.
Scholar-generated biography
Maria Brbić is a researcher specializing in Machine Learning, Computational Biology, and AI for Science. Her work focuses on leveraging machine learning techniques to analyze complex biological data, particularly in single-cell genomics and transcriptomics. She has contributed to the development of methods for clustering and embedding single-cell RNA-seq data across species, as well as tools for annotating spatially resolved single-cell data. Her research also explores the integration of biological knowledge, such as the Cell Ontology, to improve cell type classification and the analysis of microbial phenotypic traits. Brbić's work bridges computational methods with biological discovery, aiming to uncover novel insights in developmental and aging processes at the cellular level.