Verinder Rana
About Verinder Rana
Verinder Rana is a Computational Scientist currently working at Lawrence Livermore National Laboratory. He has a strong background in applied mathematics and has held various positions in research and development across several prestigious institutions.
Work at Lawrence Livermore National Laboratory
Verinder Rana has been employed as a Computational Scientist at Lawrence Livermore National Laboratory since 2020. In this role, he develops and implements algorithms and optimizations tailored for advanced computing architectures. He also provides guidance and support to users of simulation software, contributing to the laboratory's mission in scientific research and development.
Previous Experience at Los Alamos National Laboratory
In 2014, Verinder Rana worked as a Computational Physics Fellow at Los Alamos National Laboratory for a duration of two months. This experience provided him with insights into computational physics and advanced research methodologies in a national laboratory setting.
Experience at Naval Information Warfare Center Pacific
From 2017 to 2020, Verinder Rana served as a Scientist at the Naval Information Warfare Center Pacific in San Diego, California. Over the course of three years, he applied his expertise in computational science to support various projects within the center.
Education and Expertise
Verinder Rana holds a Doctor of Philosophy (Ph.D.) in Computational and Applied Mathematics from Stony Brook University, where he studied from 2011 to 2016. He also earned a Master of Science (MSc) in Risk Management and Financial Engineering from Imperial College London in 2011. His educational background includes a Bachelor of Science (BSc) in Applied Mathematics and Statistics, Economics from Stony Brook University, completed in 2010. His strong foundation in applied mathematics enhances his versatility in computational science.
Research and Development Background
Verinder Rana has a diverse research background, having worked as a Graduate Research Assistant at Stony Brook University from 2011 to 2016 and at New York University for four months in 2012. Additionally, he was a Research Assistant at Brookhaven National Laboratory from 2016 to 2017. His work has involved visualizing large datasets ranging from terabytes to petabytes, showcasing his skills in data analysis and computational techniques.