Oluwatobi Oke

Research Fellow & Data Scientist at Nist @National Institute of Standards and Technology (NIST)

Gaithersburg, MD, US

Leading an international-interdisciplinary team of NIST research engineers, statisticians, and the University of Cambridge epidemiologists on using human metabolism and exercise physiology datasets to develop novel approaches for predicting human CO2 emissions. Created a data-driven air-flow model using Monte Carlo and CONTAM, developing space-specific indoor CO2 ventilation metrics to enhance the established national and international standards for indoor CO2 concentration during potential pandemics. Devised and implemented a data-driven model to achieve a 20% reduction in carbon emissions, causing adverse health effects associated with building construction and operation while improving energy performance. Responsible for managing project expenses, writing manuscripts, and presentations at national and international conferences.

New Mexico Institute of Mining and Technology

Master's degree

Colorado State University

Doctor of Philosophy - PhD

Obafemi Awolowo University

Bachelor of Science (B.Sc.)

Obafemi Awolowo University

Master's degree