Haojun Jia is the co-founder and CEO of Deep Principle, an AI-for-science startup building AI scientists that discover new materials and chemical reactions. He hatched the idea while finishing a physical chemistry PhD at MIT, where his research paired high-throughput quantum chemistry with machine learning to design catalysts. Deep Principle's platform - marketed as ReactiveAI and now the agentic tool Agent Mira - fuses deep learning with first-principles physics to compress the time and cost of materials R&D. The company has raised roughly $28 million across two rounds from investors including GL Ventures, Linear Capital, Vertex Ventures, and funds backed by Lenovo and Baidu. Jia was named to the Forbes 30 Under 30 Asia 2025 list in Healthcare & Science.
Deep Principle is an AI-for-Science company spun out of MIT that builds ReactiveAI, a closed-loop R&D platform fusing generative AI, quantum chemistry, and high-throughput experimentation to discover new materials, catalysts, and chemical processes far faster and cheaper than traditional trial-and-error labs. Founded by MIT PhDs Haojun Jia and Chenru Duan, the company targets materials, energy, and pharmaceutical R&D and has reported quantum-chemistry speedups on the order of 20,000x versus conventional DFT.