Dr. Javier Orduz

Researcher in Quantum Computing, Machine Learning, and Data Science, developing mathematical and computational frameworks for hybrid quantum–classical systems and secure AI.

Dr. Javier Orduz is a researcher, educator, and technology leader working at the intersection of data science, machine learning, quantum computing, and quantum cryptography. His work focuses on developing mathematical and computational methods that bridge artificial intelligence, advanced computing architectures, and secure information systems.

He has taught and conducted research at institutions including UNAM (Mexico), Earlham College (USA), and Baylor University (USA), where he integrates physics, mathematics, and computer science to train students in emerging technologies such as machine learning, quantum information science, and scientific computing.

Dr. Orduz leads initiatives that expand access to advanced computing and quantum technologies. He founded QMexico, a network promoting quantum science and education in Latin America, and Quaker-ECE, a program focused on interdisciplinary training in quantum computing and emerging computational technologies. He also founded Qaldas, an initiative dedicated to research, software development, and consulting in AI, quantum computing, and advanced data analytics.

His research interests include:

  • Quantum computing and quantum algorithms
  • Quantum machine learning
  • Quantum cryptography and secure AI systems
  • Data science and statistical learning
  • Machine learning for complex systems
  • Mathematical foundations of hybrid quantum-classical algorithms

Beyond research and teaching, he actively mentors students and early-career researchers, collaborating with international initiatives such as LatinX in AI to promote diversity and inclusion in artificial intelligence and computational sciences.

Through interdisciplinary research, education, and international collaboration, Dr. Orduz works to strengthen Latin America’s role in the global development of artificial intelligence, quantum technologies, and data-driven science.