John Serafini

John Serafini

Research Scientist In Quantum Information Science @ Ridge

About John Serafini

John Serafini is a Research Scientist specializing in Quantum Information Science at Oak Ridge National Laboratory, where he has worked since 2021. He holds a Ph.D. in Condensed Matter and Materials Physics from the University of Rochester and has expertise in ultrafast optical techniques and computer simulations.

Work at Oak Ridge National Laboratory

John Serafini has been serving as a Research Scientist in Quantum Information Science at Oak Ridge National Laboratory since 2021. In this role, he focuses on leveraging integrated optic platforms to advance research in the field of Quantum Information Science. His work contributes to the laboratory's mission of conducting cutting-edge research and development in various scientific domains.

Education and Expertise

John Serafini holds a Doctor of Philosophy (Ph.D.) in Condensed Matter and Materials Physics from the University of Rochester, where he studied from 2009 to 2016. He also earned a Master’s Degree in Computational Biology from the same institution, completing his studies in 2009. Additionally, he obtained Bachelor's Degrees in Physics and Biochemistry from the University of Rochester between 2004 and 2008. His expertise includes ultrafast optical techniques for characterizing semiconductor materials, specifically II-VI, III-V, and group IV.

Previous Research Experience

Before joining Oak Ridge National Laboratory, John Serafini worked as a Graduate Research Assistant at the University of Rochester from 2010 to 2016. Following this, he served as a Postdoctoral Research Fellow at the Rochester Institute of Technology from 2017 to 2021. These roles provided him with extensive experience in research methodologies and advanced scientific techniques.

Technical Skills and Programming

John Serafini has extensive experience in writing and executing computer simulations using programming languages such as Python, MATLAB, and C++. His technical skills support his research in Quantum Information Science and semiconductor materials characterization, enhancing his ability to analyze complex data and develop innovative solutions.

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