FLARE Lab @ ShanghaiTech University focuses on fundamental research of high-performance fluid simulations by developing advanced statistical kinetic methods on top of cutting-edge computer graphics techniques, with coupling to dynamic solids, as well as scientific visualization and rendering of fluids. The related algorithms are now turning into a performance-optimized multi-node multi-GPU simulation system. The lab also conducts research on unmanned aerial vehicles, with the "virtual-to-real" concept, including their optimal geometric design based on our novel fluid simulation system, as well as their autonomous navigation with machine learning techniques. With these algorithms and systems in hand, many potential applications are being explored, which include but are not limited to: computational geometric design for industrial applications (such as airplanes, cars, architectures etc.), animation and special effects in computer graphics (for movie industry and advertisements), blood flow simulation for medical diagnosis, robot training with machine learning in virtual environments, autonomous aerial photography, obstacle avoidance and path planning, etc.