Summary
Travis Krebs is a researcher and co-founder with nine years of experience specializing in applied aerodynamics and flight sciences, focused on drone and ultra-long-endurance unmanned aircraft. He combines hands-on experimental work—wind tunnel testing, composite construction, and flight test piloting—with predictive software and numerical simulations developed during his PhD at Toronto Metropolitan University. As lead researcher on the CREATeV project and co-founder of Superwake Ltd, he blends feasibility and conceptual design with practical verification to close the loop between models and real-world performance. Working with machine learning since 2017, he applies computer vision and image classification to RPAS payloads while also exploring natural language processing in his spare time. Notably, he pairs deep aerospace domain knowledge with software-first aerodynamic tools, enabling more predictive, data-driven aircraft design. Based in Old Toronto, he brings an uncommon mix of experimental aerodynamics, pilot-in-command testing experience, and evolving ML expertise.
9 years of coding experience
Doctor of Philosophy (PhD) Applied Aerodynamics, Doctor of Philosophy (PhD) Applied Aerodynamics at Toronto Metropolitan University