Julia Ling is an AI-native engineering leader and co-founder currently serving as CTO of Anori, building intelligence platforms for the built environment. With nine years of industry experience and a PhD in mechanical engineering from Stanford, she has translated deep research—most notably pioneering deep learning for turbulence modeling—into product-grade AI across transportation, ocean health, and materials. Prior to Anori she led ML and ocean modeling teams at X’s Moonshot Factory and scaled AI and data organizations as CTO at Citrine Informatics, delivering patented platform features and commercial collaborations. She combines hands-on research pedigree with operational leadership, growing teams of 30–50+ and mentoring technical managers through rapid startup phases. Based in Menlo Park, she’s equally comfortable shipping generative-AI systems (RAG, pretraining and fine-tuning workflows) and advancing physics-informed ML for real-world engineering problems. An underappreciated strength is her ability to bridge deep numerical modeling and modern ML toolchains to turn complex physical systems into deployable intelligence.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (B.A.), magna cum laude, Physics, Bachelor of Arts (B.A.), magna cum laude, Physics at Princeton University
Doctor of Philosophy (PhD), Mechanical Engineering, Doctor of Philosophy (PhD), Mechanical Engineering at Stanford University
Contributions:11 commits, 3 PRs, 5 pushes in 4 months
training-materialstraining
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