Patrick Beukema
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Hi! My name is Patrick. I am a scientist and engineer passionate about building AI for good. I lead an AI team at the Allen Institute for Artificial Intelligence (Ai2) My work includes both research and engineering on large-scale multi-modal planetary modeling supporting a wide variety of applications. You can read more about my team’s work here. I live with my wife and and two young boys in the majestic Pacific Northwest. Lately, I have been exploring home espresso (which is coming in handy).
Previously I worked on applied machine learning at a few startups, in tech, and in academia (CMU, McGill, and U. Pitt). I received a Ph.D. from the Center for Neuroscience and the Center for the Neural Basis of Cognition at CMU. My dissertation focused on neural plasticity, learning, and decoding. Before that, I worked on recurrent neural networks and causal inference. I went to McGill for undergrad, researched ecology and biodiversity, studied a little math and logic, and spent a lot of time riding a beautiful Marinoni on Montreal’s 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. |