Ziming Qiu is Co-Founder at Inviscid AI, a physics-informed AI platform that optimizes building and data center energy operations through real-time simulations. The company is part of Y Combinator's Winter 2026 batch.

Ziming earned his PhD in Electrical and Computer Engineering from NYU, specializing in computer vision, deep learning, and machine learning with over 100 academic citations. His research focused on medical image analysis, camera pose estimation, and neural network applications.

Ziming has published extensively in top conferences including ISBI, ACCV, and IEEE journals, contributing to advances in computer vision and medical imaging. He co-founded Inviscid AI with Kabir Jain to apply computational fluid dynamics and AI to solve critical energy efficiency challenges.

Inviscid AI combines IoT sensor data with CFD modeling to create digital twins that autonomously optimize HVAC systems, reducing energy consumption while maintaining thermal comfort. The platform has demonstrated 240x faster HVAC optimization and achieved 40% improvement in air circulation.

Inviscid AI's technology eliminates dead zones in buildings, reduces cooling costs, and optimizes equipment maintenance cycles by predicting system behavior. The company serves clients across construction, energy, water management, and smart infrastructure sectors.