I lead multidisciplinary teams composed of researchers, engineers and applied scientists. Our areas of focus include automated machine learning and biomedical machine learning. My research interests in ML include AutoML, learning and optimization in large-scale deep models, Gaussian processes and scalable inference in Bayesian nonparametrics more in general. In computational biology, I have worked on statistical methods to perform genome-wide association studies and predictive models for CRISPR/Cas9 gene editing.