PNNL

Dr. Ortiz Marrero is a data scientist at the U.S. Department of Energy’s Pacific Northwest National Laboratory (PNNL). As the PI for the Computing Optimal States via Quantum Neural Networks project, he is working on problems related to Quantum Computing and Machine Learning for the Mathematics for Artificial Reasoning in Science (MARS) initiative. His project is focusing on the study and development of quantum algorithms for near-term hardware. The goal is to showcase how quantum neural networks provide an interpretable search space for domain-aware learning problems.

• Ph.D., Mathematics, University of Houston

• Assistant Research Professor, Electrical and Computer Engineering, North Carolina State University

• PNNL Exceptional Contribution Award