related experts to Anomaly Detection
PhD Student @ IML
Working on failure detection, uncertainty and active learning.
Considering human interaction when designing machine learning (ML) systems bears great potential: On the one hand, decision-making in ML systems remains imperfect in practice, thus requiring human interaction for safety-critical applications such as clinical diagnostics. On the other hand, the …
PhD student @ IML
working on Active Learning and the low label data regime, to bring benefits of Deep Learning to a broader audience of users.
Astronomer by formation, skilled in Physics, Mathematics and Statistics. My research interests are divided into making infrastructure more resilient, safe and secure by means of data (optical, infrared, etc). Additionally, I am also interested in applying different machine learning techniques …