Summary
Dian Jiao is Head of AI based in Houston with nine years of experience building and scaling end-to-end AI solutions across healthcare, energy, manufacturing, and infrastructure. With a PhD in computational chemistry and roots in high-performance research at Sandia and TACC, she brings rigorous scientific training to pragmatic product delivery, bridging data science and software engineering. Dian has progressed from computational scientist roles to leading data science teams at Crown Castle and Fresenius, and now drives AI strategy and adoption at Stainless Structurals while mentoring the next generation at Great Learning. She focuses on production-ready systems—operationalizing models, embedding them into business workflows, and measuring real-world impact rather than experimental prototypes. Colleagues describe her as a pragmatic innovator who pairs deep technical judgment with an obsession for measurable outcomes.
9 years of coding experience
12 years of employment as a software developer
PhD Computational chemistry, PhD Computational chemistry at The University of Texas at Austin