Phillip Lotshaw
About Phillip Lotshaw
Phillip Lotshaw is a scientist currently working at Oak Ridge National Laboratory, where he serves as a Scientist and Postdoctoral Research Associate in the Quantum Computational Sciences Group. He holds a Ph.D. in Physical Chemistry from the University of Oregon and has extensive experience in teaching and research in the field of quantum computing.
Current Work at Oak Ridge National Laboratory
Phillip Lotshaw currently serves as a Scientist at Oak Ridge National Laboratory, a position he has held since 2022. In addition to this role, he is also a Postdoctoral Research Associate in the Quantum Computational Sciences Group, where he has worked since 2020. His research focuses on solving optimization problems using quantum computers, integrating analytical reasoning with numerical simulations to address complex computational challenges.
Previous Experience at University of Oregon
Phillip Lotshaw has extensive experience at the University of Oregon, where he worked in various capacities from 2012 to 2018. He served as a Graduate Research Assistant for eight years, contributing to research initiatives. Additionally, he was a Graduate Teaching Fellow for three years and held the position of Head Teaching Assistant for both the Science Literacy Program and General Chemistry Laboratories, totaling approximately 20 months in those roles.
Education and Expertise in Physical Chemistry
Phillip Lotshaw earned his Ph.D. in Physical Chemistry from the University of Oregon, completing his studies from 2012 to 2019. His doctoral research focused on theoretical quantum thermodynamics. Prior to this, he obtained a Bachelor of Arts in Physics with a minor in Mathematics from Willamette University, studying there from 2008 to 2012. His educational background provides a strong foundation for his current research in quantum computational sciences.
Research Focus and Methodology
Phillip Lotshaw's recent research emphasizes solving optimization problems through the application of quantum computing techniques. His work combines analytical reasoning with numerical simulations, allowing him to tackle complex computational problems effectively. This interdisciplinary approach highlights his expertise in both theoretical and practical aspects of quantum sciences.