CatRisk: AI Infrastructure for Catastrophic Climate Risk Reasoning

Fahd Husain leads the AI for Cat Risk program and is a Fellow of Applied AI at Renaissance Philanthropy, where he serves as the Principal Investigator at Renaissance Philanthropy’s AI Scientific Ecosystem Landscape Analysis, where he builds knowledge systems that make AI legible and useful for discovery and decision-making.  He brings over a decade of machine learning experience across natural language processing, graph machine learning, human-AI collaboration, reinforcement learning and now language models. As a principal investigator on multiple DARPA projects, he has worked on counter-human-trafficking on the dark web, automating scientific knowledge extraction during the COVID-19 pandemic in partnership with the NIH and CDC, and accelerating causal modelling for Ethiopian food security with the Gates Foundation. Most recently, he was technical founder and head of ML at Mozilla.ai, a $30 million R&D studio focused on small, specialized language models and the open-source LLM stack. Fahd’s academic background spans mathematics, computational methods, political science and philosophy. He holds degrees from McGill University and the University of Toronto, and was a Program Scholar in Empirical Methods at the University of Michigan.