Patrick Beukema
Hi! My name is Patrick. I am a scientist and engineer passionate about building AI for social good. I lead a team at the Allen Institute for Artifical Intelligence (AI2) building AI for Earth.
I received 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 focused on how neural patterns of activity evolve during learning. 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 :).
Jul 9, 2024 | Speaking on AI for climate at the BEF $100M Grand Challenge |
May 30, 2024 | “Beyond AGI: Building AI for the Planet” Thursday, May 30, 2024, 4 – 6 p.m. |
Apr 18, 2024 | Interview on the MLOps podcast: Can AI help save the planet |
Feb 25, 2024 | We have open positions for an AI engineer and an AI intern! |
Feb 15, 2024 | Blog post: 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. |
Sep 4, 2022 | “Leveraging AI in environmental sciences” @ NOAA AI. |