Jordan Houri
About Jordan Houri
Jordan Houri is a computer scientist specializing in simulation and modeling, currently employed at Oak Ridge National Laboratory. He has a strong background in space radiation modeling, medical imaging, and artificial intelligence, supported by degrees from the University of Oxford and Duke University.
Current Role at Oak Ridge National Laboratory
Jordan Houri serves as a Computer Scientist for Simulation and Modeling at Oak Ridge National Laboratory. He has held this position since 2021, contributing to various projects that focus on advanced computational techniques. His work involves applying simulation methods to complex scientific problems, particularly in the fields of medical imaging and space radiation modeling.
Previous Experience at Carl E. Ravin Advanced Imaging Laboratories
Prior to his current role, Jordan worked as a Graduate Student Researcher at Carl E. Ravin Advanced Imaging Laboratories from 2019 to 2021. During his two years in Durham, North Carolina, he engaged in research that combined his expertise in medical imaging and simulation techniques, contributing to advancements in imaging technologies.
Education and Expertise
Jordan Houri has a strong academic background in physics and medical physics. He earned a Bachelor of Arts in Physics from the University of Oxford from 2015 to 2018, followed by a Master of Science in Medical Physics from Duke University from 2019 to 2021. His expertise includes space radiation modeling, medical imaging, particle radiation therapy, and artificial intelligence.
Research Experience at UC San Diego
Jordan gained valuable research experience at UC San Diego, where he worked as a Student Research Fellow in the Hattangadi Lab from 2018 to 2019. He also volunteered as an Undergraduate Research Volunteer in the Moiseenko Lab from 2017 to 2018. His time at UC San Diego allowed him to develop skills in various research methodologies and applications in clinical settings.
Technical Skills and Programming Proficiency
Jordan Houri is skilled in a range of technical tools and programming languages. He is proficient in using GEANT4, Ansys HFSS, SPICE, HZETRN, Varian Eclipse/ARIA, and Tensorflow. Additionally, he is fluent in programming languages including C/C++, Python, MATLAB, and Fortran, which support his work in simulation and modeling.