Summary
Alexander Wang is an AI and robotics researcher and Ph.D. candidate in ECE at the University of Toronto with eight years of hands-on experience building perception, state estimation, and control systems for autonomous platforms. He led localization efforts that won back-to-back first place finishes in the SAE AutoDrive Challenge and has shipped production-oriented software for EV thermal management and Starlink antenna simulation during internships at GM and SpaceX. At TRAIL he developed a Bayesian attention-based 3D lane detector and created BoreasLane, the first winter-condition 3D lane dataset, while also exploring vision-language models for embodied agents. Comfortable across full-stack tooling and low-level controls, he blends academic rigor with practical systems engineering and contributes code publicly on GitHub. Not obvious from titles alone, he pairs competitive team leadership (former Cadet Warrant Officer) with deep technical breadth spanning computer vision, probabilistic modeling, and embedded control. Based in Toronto, he focuses on turning research prototypes into robust, testable systems for real-world autonomy.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Engineering Science, Bachelor of Engineering - BE, Engineering Science at University of Toronto
International Baccaleureate Program, OSSD, International Baccaleureate Program, OSSD at Colonel By Secondary School
English, French