Patrick Beukema
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 :).
Apr 23, 2024 | Invited Earth Day talk in Seattle “Beyond AGI: Building AI for Earth”. |
Feb 25, 2024 | We have open positions for an AI engineer and an AI intern! |
Feb 15, 2024 | Accelerating Engineering with LLMS |
Jan 26, 2024 | Invited talk on “Data and High Performance AI” at ESIP |
Jan 1, 2024 | Recognized as one of the top 5 AI engineers working on sustainability. |
Dec 31, 2023 | Blog post on Environmental AI, the year in review |
Dec 17, 2023 | Best paper award at NeurIPS Computational Sustainability |
Dec 13, 2023 | Blog post on Protecting Marine Life with AI |
Dec 6, 2023 | “Satellite Imagery and AI: A New Era…” NeurIPS 2023 Comp Sust: arXiv |
Nov 8, 2023 | Thoughts on building AI for Good Featured AI2er. |
Oct 10, 2023 | Recognized as one of the top 100 people in AI by Business Insider. |
Oct 1, 2023 | Released two new CV models for vessel detection in Sentinel-1/2 imagery. |
Sep 18, 2023 | “Shedding Light on Shadowed Waters: Geospatial CV…” @ NOAA AI |
Jul 22, 2023 | Released new model for real time vessel detections in VIIRS imagery GitHub. |