I currently work with David Clifton and Clive Siviour at at the IBME, University of Oxford, in investigating how machine learning techniques can help finding structure-property relationships in the context of polymer design. I am also a junior research fellow at Kellogg College, Oxford.

I quite enjoy teaching. At Oxford, I am currently a college lecturer in machine learning and AI at St Catherine’s and also a college lecturer in mathematics and statistics at Chirst Church.

My work with graph kernels started not long ago, while I was a research associate at King’s College London working with Luc Moreau and Dong Huynh in Provenance. Before diving into the machine learning world, I worked (and still do!) in consensus processes on graphs. On that more theoretical side of things, I have completed my PhD in Computer Science also at King’s under the supervision of Peter McBurney and Kathleen Steinhöfel following my first degree in pure mathematics at the University of São Paulo, Brazil. My research interests include multi-agent systems, machine learning, provenance, graph kernels, and stochastic processes.