Hi! My name is Patrick. I am a scientist and engineer passionate about building AI for earth. I lead a team of AI engineers at the Allen Institute for Artifical Intelligence (AI2). You can read about AI2’s work on environmental initiatives here.

I am also interested in improving scientific rigor in academia through the adoption of professional software engineering practices. Reliability and reproducibility are as essential to software development as they are to academic findings. I received training in software engineering pedagogy and I have mentored academics in machine learning and engineering, most recently through Neuromatch academy.

I earned a Ph.D. from the Center for Neuroscience at the University of Pittsburgh and the Center for the Neural Basis of Cognition at Carnegie Mellon University. My dissertation work focused on how neural patterns of activity evolve during learning. Here is an interview on youtube that provides a non technical overview of my research. Before that, I studied recurrent neural networks and causal inference at CMU. I went to McGill for undergrad, researched ecology and biodiversity, and spent a lot of my time learning to ride a fixed gear on icy streets :).