About Us
Our Mission
Cubed is pioneering the future of artificial intelligence through defensive acceleration (d/acc) principles. We believe in building AI systems that prioritize safety, transparency, and democratic access while accelerating innovation responsibly.
Our Team
Meet the leadership team behind Cubed — a collective of world-class builders, researchers, and strategists from Carnegie Mellon, Stanford, Berkeley, Duke, and more. With deep experience across AI, blockchain, venture capital, and product design, our leadership includes ex-Y Combinator fellows, Stanford engineers, CMU PhDs, and Web3 growth experts. Together, we're building the future of decentralized AI infrastructure.
We have a growth team with members hailing from Georgetown, Cornell, and TikTok – experts in community building and user acquisition. We've also secured an outstanding group of fellows and advisors, including machine learning and blockchain professors from NYU and CMU, as well as PhD/Postdoc from Stanford, Berkeley, CMU, MIT, Harvard and Tsinghua. This mix of academic rigor and industry savvy guides our innovation and strategy.
Advisors
Prof. Tai-Sing Lee
Professor of Computer Science and Neuroscience, Carnegie Mellon University
Dual PhDs (Harvard & MIT HST) • Director, Lee Lab for Biological & Machine Intelligence • AI Mentor to Andrew Ng (CMU '97) • ICCV Helmholtz Prize, NSF CAREER, McDonnell–Pew Award • Pioneer in Bayesian Cortical Models & Neural Vision • Trained Leaders at DeepMind, OpenAI, Google, Berkeley
Prof. Xi Chen
Professor & André Meyer Faculty Fellow at NYU Stern's Department of Technology, Operations & Statistics
ML + Blockchain Expert | 230+ Papers | 18K+ Citations • PhD, CMU | Postdoc with Michael Jordan (Berkeley) • ex-Principal Scientist, Amazon Ads • NSF CAREER, Beckman YI, Forbes 30U30 • Research at Meta, Google, JPM, IBM, Alibaba • Model-to-Market Expert | Theory ↔ Production Systems
