Jinrui Huang
About Jinrui Huang
Jinrui Huang is a Software Engineer with extensive experience in physics and programming. He has worked at notable institutions such as Los Alamos National Laboratory, ASML, Samsung Electronics America, and currently at Nuro since 2021.
Work at Nuro
Jinrui Huang has been employed at Nuro as a Software Engineer since 2021. In this role, he focuses on developing software solutions that contribute to the company's mission in autonomous delivery services. His expertise in programming and physics allows him to create innovative techniques that enhance the efficiency and effectiveness of Nuro's technology.
Education and Expertise
Jinrui Huang holds multiple degrees in Physics and Computer Science. He earned a Doctor of Philosophy (Ph.D.) in Physics from UC Irvine, where he studied from 2007 to 2012. He also obtained a Master’s Degree in Physics from the University of Oregon between 2005 and 2007. Additionally, he completed a Master’s Degree in Computer Science at UC Irvine from 2010 to 2012. His academic background provides a strong foundation for his work in software engineering.
Background
Jinrui Huang began his academic journey at the University of Science and Technology of China, where he earned a Bachelor of Science in Physics from 2001 to 2005. He then pursued further studies in the United States, obtaining a Master’s Degree in Physics from the University of Oregon. His research experience includes positions as a Research Assistant at both the University of Science and Technology of China and UC Irvine, as well as roles as a Teaching Assistant.
Previous Employment Experience
Prior to his current role at Nuro, Jinrui Huang held several engineering positions. He worked as a Senior Engineer at Samsung Electronics America from 2017 to 2021, and before that, he spent two years as a Senior Engineer at ASML from 2015 to 2017. His career began at Los Alamos National Laboratory, where he served as a Postdoctoral Research Associate from 2012 to 2015.
Technical Skills and Contributions
Jinrui Huang possesses fluency in multiple programming languages, including C++, Python, Matlab, and Mathematica. He has developed innovative techniques for testing theoretical physics models in experimental settings, such as collider and neutrino experiments. His work includes applying advanced classification and regression methods, as well as simulating physics events with Monte Carlo simulators to identify new physics signals.