Farzi Yusufali

Farzi Yusufali is a co-founder of StratumAI, where a quantum-enhanced AI protocol improves ore body reserve modeling accuracy by 25% compared to traditional geostatistics. Previous roles include positions as a Quantum Computing Engineer at the University of Tokyo's RCAST, where Farzi designed and simulated a 2D transmon qubit array, and as a User Data Engineer at Statflo, developing de-duplication scripts and an NLP semi-supervised algorithm. Farzi's earlier experience includes various research roles at the University of Waterloo and the Hospital for Sick Children, focusing on photonic sensors, LED cooling solutions, and hydrogel for tissue repair. Farzi holds a Bachelor of Applied Science in Nanotechnology Engineering with Honours from the University of Waterloo and has participated in the Next36 Entrepreneurial Program.