Machine learning, data fusion, open source software
I am interested in enabling scientific discovery by extending statistical machine learning methods.
I am interested in enabling scientific discovery by extending statistical machine learning methods. In recent years, we have developed new optimization methods for solving problems such as ranking, feature selection and experimental design, with the aim of solving scientific questions in collaboration with experts in other fields. This has included diverse problems in genomics, systems biology, and medical imaging. I am also interested in open source software and reproducible research in the context of machine learning. We are advocating this via a JMLR special track, as well as the community sites mloss.org and mldata.org.