Summary
Alexander De Furia is a computer scientist with eight years of hands-on software and robotics experience, currently pursuing fast-tracked graduate research in AI and a PhD at the University of Ottawa. He blends low-level control systems and real-time robotics (PID, fuzzy logic, vision tracking, path planning) with full-stack and automation engineering—shipping production drivers, REST APIs, and Angular front-ends while maintaining high test coverage and CI-driven workflows. At Renesas he automated lab workflows to save 10 man-hours daily and at CHEO Research Institute he applied novel imbalanced-learning techniques to newborn screening, bridging ML research with biochemistry for real-world deployment. A longtime FIRST Robotics contributor and team leader, he’s comfortable iterating rapidly in competitive settings and has led cross-functional student teams to build practical apps intended to replace campus systems. Colleagues describe him as a fast adopter of new tech who pairs rigorous testing and TDD with an appetite for applied research and measurable operational impact.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Student, Computer Science, Doctor of Philosophy - PhD Student, Computer Science at University of Ottawa