I am a passionate and driven Atmospheric Science Ph.D. candidate at North Carolina A&T State University with a strong focus on urban weather dynamics and numerical modeling. With deep expertise in the WRF model, Fortran programming, and data visualization tools such as R, Python, and NCL, I aim to apply my technical skills to tackle real-world climate challenges. My academic and research journey, supported by a foundation in Physics and Atmospheric Physics, fuels my commitment to understanding and improving weather prediction and adaptation strategies. I am eager to contribute my skills to impactful projects that enhance climate resilience and advance meteorological science.
Sponsored by U.S. Department of Energy, Argonne National Lab, Chicago
Python, R, Linux, NCL, Numerical Weather Prediction, Dynamic Mountain Meteorology, Physical Meteorology, Atmospheric Turbulence, Applied Nuclear Physics, Solid State Physics, Quantum Mechanics, Classical Electrodynamics
Community Collaborative Rain, Hail and Snow Network (COCORAHS), 2023
WEATHER RESEARCH AND FORECASTING (WRF) TRAINING BY National Center for Atmospheric Research(NCAR)