About Us
Azimuth Labs is an independent research nonprofit working to keep AI models from enabling biological harm. We pursue defense-in-depth research across pre-training data filtering and tamper-resistance for open-weight models, plus multi-agent safety evaluation.
Supported by
Fiscally sponsored by BERI: Berkeley Existential Risk Initiative
Matthew Rubashkin
Founder & Executive Director
Matthew Rubashkin founded Azimuth Labs to address emerging biosecurity risks from frontier AI systems. He holds a PhD in Bioengineering from UC Berkeley/UCSF and has spent his career at the intersection of AI and the biosciences, including developing AI-based safety systems, with work published in Nature and Science.
Matthew has conducted red-teaming evaluations for foundation model labs and previously led engineering teams building crisis detection AI systems. He also runs Zaro Data, an AI engineering consultancy.
David Evan Harris
Advisor
David Evan Harris is a Chancellor's Public Scholar at UC Berkeley and a faculty member at the Haas School of Business, where he teaches courses including AI Ethics for Leaders and AI Law & Governance. He has advised US Congress, the European Union, the United Nations and several state legislatures on tech policy, and led the drafting of the California AI Transparency Act of 2025 (AB 853).
He advises Azimuth Labs on open-weight AI regulation and policy.