A public good initiative to accelerate scientific research
AI engineers matched with labs to accelerate research on meaningful problems.
02Support organizations and events shaping the future of AI-driven science.
03Building wet lab science that is coordinated, automated, and software-defined.
04Funding researchers and builders pursuing high-impact, AI-driven science.
Jonas was the CEO at Chaincode Labs. He previously worked as a software engineer and manager after transitioning from his former role developing the talents of professional baseball players.
Alex co-founded Hudson River Trading in 2002, where he spent ten years helping build a quantitative trading firm. After becoming fascinated with Bitcoin, he co-founded Chaincode Labs in 2014 to contribute to open research and development. Now his interest in emerging technology has brought him to focus on AI.
Suhas co-founded Hudson River Trading in 2002, where he spent over a decade helping build a global quantitative trading firm and shaping policy debates around technology in financial markets. In 2014, he co-founded Chaincode Labs with Alex to support open-source development of decentralized digital currencies. He now brings his experience of building technical teams to the challenge of connecting AI talent with scientific research.
Arun Nijhawan is an entrepreneur who founded Menda Health (acquired by Wider Circle) and FillMyFork (acquired by Zipongo). He now builds Litmus, software that validates AI drug discovery predictions against wet-lab evidence. He holds a Physics and Astrophysics degree from the University of Toronto.
Caralie most recently worked in client strategies and marketing at Stone Ridge Holdings Group. She comes from the Bitcoin ecosystem, where she served as Program Director at Wolf, head of Gemini's open-source grant program, and People Operations Manager at Chaincode Labs. She began her career as a talent manager, representing actors across theater, film, and television.
