SECQUOIA develops optimization and decision-making methods, from classical to quantum, that transform complex engineering data into reliable real-world impact.
Mission
- Advance systems-engineering decision-making by creating and disseminating rigorous optimization and learning methods as usable software.
- Span classical, hybrid, and quantum computing for high-impact industrial and scientific applications, especially chemical, process, and energy systems.
- Train a diverse and inclusive cohort of engineers and scientists through mentorship, teaching, and open, reproducible research practices.
Vision
Make advanced optimization practical, trustworthy, and broadly accessible, including quantum-enhanced methods where useful, by unifying theory, scalable algorithms, and open tools across emerging hardware.