CIS – “Get to know your neighbors” Seminar Series
“Machine learning methods for biomedical discovery”
Prof. Maria Brbic, Tenure Track Assistant Professor, Machine Learning for Biomedical Discovery Lab
Monday, Jan 30, 2023 3:15 – 4:15pm (CET) | Hybrid or on-site INF 328
Note: As this event is reserved to the EPFL community please register with your @epfl.ch email address.
Machine learning methods for biomedical discovery
Biomedical data poses multiple hard challenges that break conventional machine learning (ML) assumptions. Biomedical data are heterogeneous, originate from different experimental conditions, and collecting high-quality labeled datasets is often impossible. In this talk, I will highlight the need to transcend our prevalent machine learning paradigm and methods to enable them to become the driving force of new scientific discoveries. I will present machine learning methods that have the ability to bridge heterogeneity of individual biological datasets by transferring knowledge across datasets with an unique ability to discover novel, previously uncharacterized phenomena. I will discuss the biological findings enabled by these methods and the conceptual shift they bring in annotating comprehensive single-cell atlas datasets.