Miguel is a University Lecturer in Machine Learning, Visiting Researcher at Microsoft Research Cambridge and Fellow at the Alan Turing Institute. Before, he did postdoctoral research at the University of Cambridge and at Harvard University. His research is in probabilistic machine learning, with interests in Bayesian deep learning, Bayesian optimization, automatic chemical design, reinforcement learning, and compression. His research has been used commercially by companies such as Infosys, Tencent, Siemens, Samsung, and Microsoft. He is a frequent Area Chair of UAI, IJCAI, ICML, AISTATS and AAAI and reviewer for NeurIPS, ICLR, and the Journal of Machine Learning Research. He is a member of the ELLIS society.