Intro
Suhail Mahmud holds a Ph.D. and a Master’s degree in Computational Science from the University of Texas at El Paso. His doctoral research concentrated on optimizing regional-scale numerical weather prediction and air quality models for the Paso Del Norte region. This research encompassed climate models, atmospheric science, meteorology, and multi-sector dynamics. A significant component involved modeling the vertical profile of pollutants and meteorological parameters using satellite-based data, such as Sounder profiles and Lidar, alongside data from ozonesonde and radiosonde launches.
Dr. Mahmud is proficient in handling, analyzing, and processing meteorological and geospatial datasets in various formats, including NetCDF, GRIB, and HDF. His expertise spans statistical and numerical analysis using Fortran, Python, R, and MATLAB. He possesses a deep understanding of algorithms and excels in data visualization with MATLAB and Python. His technical skills extend to Python data libraries like pandas, NumPy, and SciPy, as well as SQL. He has substantial experience working in Linux environments and high-performance computing clusters on AWS, applying parallel computing methods such as MPI and OpenMP.
In his professional career, Dr. Mahmud currently serves as an Atmospheric Engineer at Tomorrow.io in Boston, MA. Previously, he was a Senior Research Scientist (Model Development) at Karen Clark & Company in Boston, MA. His experience also includes roles as a Postdoctoral Scholar at Penn State University, a Postdoctoral Researcher at the University of Texas at El Paso, and a Research Assistant at UTEP. Additionally, he has worked as an Instructor at Doña Ana Community College and as an Earth Station Engineer at Diganta Television in Dhaka, Bangladesh.