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Quantum Machine Learning Lead/Founder at NASA-USRA Quantum AI Lab./Qubitera, LLC
Alejandro Perdomo-Ortiz is a senior research scientist exploring the computational limits and opportunities of quantum computing for problems in artificial intelligence, and the co-founder of Qubitera, LLC. He is currently the lead scientist of the Quantum Machine Learning effort at NASA's Quantum Artificial Intelligence Laboratory (NASA QuAIL). He also holds an Honorary Senior Research Associate position at University College London, and a lead scientific advisor to Cambridge Quantum Computing Ltd. and Alkanza, Inc.
Alejandro did his graduate studies, M.A and Ph.D. in Chemical Physics, at Harvard University. Over the past 10+ years, he has worked on the implementation of quantum computing algorithms, enhancing their performance with physics-based approaches while maintaining a practical, application-relevant perspective. His latest research involves the design of hybrid quantum-classical algorithms to solve hard optimization problems and intractable machine learning subroutines.
While at NASA, he was the recipient of the 2014 Staff Appreciation and Recognition (STAR) Award from the University of California, and the 2016 Ames Honor Award in the category of Contractor Employee. In 2017 he was recognized by the Colombian Embassy in the USA as one of the top 22 most influential Colombians in the USA, for his scientific leadership and outreach to help young generations interested in science and technology.