Olabosipo Osibanjo Ibirogba, Ph.D.
About Olabosipo Osibanjo Ibirogba, Ph.D.
Olabosipo Osibanjo Ibirogba, Ph.D., is a Postdoctoral Fellow at FM Global specializing in atmospheric sciences and meteorology.
Current Position at FM Global
Since 2021, Olabosipo Osibanjo Ibirogba, Ph.D., has been working at FM Global as a Postdoctoral Fellow in Massachusetts, United States. In this role, he has conducted extensive research on severe weather, tropical cyclones, and wildfires. Dr. Ibirogba's efforts have focused on developing an advanced algorithm to estimate the planetary boundary layer height and its influence on air pollution levels. His findings contribute to enhancing predictive models and improving disaster preparedness strategies.
Previous Positions
Dr. Ibirogba has held various positions over the years, including a Summer Meteorologist role at MatthewsDaniel in Houston, Texas in 2018 for two months. Prior to that, he served as a Graduate Teaching Assistant at the University of Nevada, Reno in 2016 for seven months. From 2015 to 2016, he was a Graduate Research Assistant at the same institution. His early career includes a two-year tenure at Aero Contractors of Nigeria Ltd as part of the National Youth Service Corps from 2012 to 2014.
Educational Background in Atmospheric Sciences
Dr. Ibirogba has a robust educational background in atmospheric sciences. He earned his PhD in Atmospheric Sciences from the University of Houston, Department of Earth & Atmospheric Sciences, between 2016 and 2021. Prior to that, he completed his Master of Science (MSc) in Atmospheric Sciences/Meteorology at the University of Nevada, Reno in 2016. His foundational education was obtained at the Federal University of Technology Akure, where he achieved a Bachelor of Technology (B.Tech.) in Meteorology from 2007 to 2011.
Research Contributions
Dr. Ibirogba has made significant research contributions in the field of atmospheric sciences. His work includes using the NOAA HYSPLIT model to compute backward trajectories of air masses and developing sites forecasts for regions in Texas and near Australia using global forecasting systems and zygrib models. Additionally, he has presented his research findings to industry professionals, faculty, and peers at professional conferences, fostering knowledge exchange and collaboration within the atmospheric science community.