About

Daniel Huang, Founder ( ).

Every major era of software has its own theory. Software 1.0 has compilers and type theory. Software 2.0 has backpropagation and learning theory. Software 3.0 currently has prompt engineering tips. I founded Base26 to build what’s missing—PLT for Software 3.0 (, ).

Before founding Base26, I was an Assistant Professor of Computer Science at San Francisco State University. Leaving academia was a difficult decision, but the pace of technological change made one thing clear: I needed to build to truly understand what I should teach.

My research spans AI, programming languages/formal methods, and quantum computing. I earned my undergraduate degree from Princeton, my PhD from Harvard, and conducted postdoctoral research at both UC Berkeley and Boston College.

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