I was a postdoc in the Botvinick Lab (and a frequent lurker in the Computational Memory Lab) at the Princeton Neuroscience Institute. Previously I got my Ph.D. in the Computer Science Department at CMU, working with Tom Mitchell and Geoff Gordon. I was also a student in the graduate training program of the Center for the Neural Basis of Cognition, working in collaboration with the Center for Cognitive Brain Imaging. I got my undergraduate degree at the Computer Science Department of the University of Porto, in Portugal.
In parallel with this, I have an interest in developing new machine learning approaches for answering clinical questions — diagnostic and prognostic — using brain imaging data (functional, structural and diffusion MRI, as well as spectroscopy), and for automatically providing explanations and context for those answers in terms of models of the underlying condition. I am also a research scientist on the NSF REAL "Cognitive and Neural Indicators of School-based Improvements in Spatial Problem Solving" project, led by Adam Green at Georgetown University. The project will focus on a high school course, the Geospatial Semester, that is designed to improve spatial thinking. The project will look for changes in brain activation and connectivity as a result of taking the course, as well as relations among the educational, behavioral, and neuroimaging measures.
If you want to know more about my work
Supplementary material (visualizations of the topic model used in the paper)abstract]