Benedikt Boecking PhD Student
Benedikt is a PhD student advised by Artur Dubrawski. His research explores technical and theoretical aspects of how we engage domain experts in building and training machine learning models. His current research focus is on methods for learning from indirect and imperfect supervision (weak supervision).

Link to Benedikt’s homepage: https://www.cs.cmu.edu/~boecking/