
How AI can help in materials innovation – from discovery to design
By leveraging domain expertise and data-driven insights, AI-enabled platforms are poised to transform materials science to build a more sustainable future.
Dr. Haojun Jia is the founder and CEO of Deep Principle. He holds a PhD in Physical Chemistry from MIT advised by Prof. Heather Kulik. His research focused on AI for Chemistry/Materials—developing AI models with high-throughput quantum chemistry to design new catalytic materials. He has published over 20 publications in top journals in computational catalysis, quantum chemistry, and functional materials. Dr. Jia served as the President of the MIT Chinese Students and Scholars Association (MIT CSSA) from 2022 to 2023. He holds a bachelor degree from both Jilin University and Tomsk Polytechnic University in Physics with highest honor. He was an honored member of the Tang Aoqing Honors Program and a recipient of the Outstanding Prize in Research & Practice. He has also conducted research at Dow Chemical core R&D in Midland, using AI to develop catalyst formulas and predict chemical reaction pathways. Dr. Jia was listed on "Forbes China 100 Most Influential Chinese", "Forbes 30 Under 30 China 2024" and "Forbes 30 Under 30 Asia 2025". Under Jia’s leadership, Deep Principle has successfully closed five rounds of funding, securing approximately $40 million from investors including Hillhouse Capital, Vertex Ventures, Gobi Partners, Linear Capital, Ant Group, Lenovo Capital, Baidu Venture and XtalPi (2228.HK).
By leveraging domain expertise and data-driven insights, AI-enabled platforms are poised to transform materials science to build a more sustainable future.
Al combinar el conocimiento especializado con el análisis de datos, las plataformas potenciadas por IA están preparadas para transformar la ciencia de materiales.
