Hi! My name is Patrick Beukema. I am scientist and engineer passionate about applying machine learning and artificial intelligence to global environmental and healthcare challenges. Currently I work at a neurotechnology/AI startup in the D.C. area where I build models for neural decoding and computer vision. I am also interested in improving scientific reproducibility in academia by teaching foundational coding and data science skills to researchers.

Previously, I earned a Ph.D in neuroscience from the Center for Neuroscience at the University of Pittsburgh and the Center for the Neural Basis of Cognition at Carnegie Mellon University. My research focused on neural population patterns and how they change during learning. Before that, I studied recurrent networks and causal inference at Carnegie Mellon University (M.S. Logic). And before that, I spent several great years at McGill in Montreal, researching ecology and biodiversity.