Kenny Yue

I am currently pursuing a master's degree at Missouri University of Science and Technology in Geological Engineering and working on an atmospheric correction algorithm with InSAR data. Tropospheric interference depends mainly on the atmosphere's temperature, pressure, and water vapor. My motivation is to use deep learning to discover the correlation between weather model delay and interferometric delay to improve interferogram resolution. I graduated with a Bachelor of Science at Brigham Young University-Idaho majoring in Geospatial Computing and Analytics, I am also minoring in Geology. I love learning and exploring data to find answers to questions. I am interested in environmental and social events, especially climate change topics. I can discover and collect data using R script to perform web scraping, cleaning, and structuring data. I am proficient in scientific computing with Python in Linux environments using packages such as NumPy, Xarray, rasterio, pyproj, GDAL, etc. Skills and experienced with Scientific Computing · Linux · Geostatistics · Geospatial Intelligence · GDAL · Pandas (Software) · Anaconda · Rasterio · NumPy · xarray · Deep Learning · Technical Writing · Statistical Data Analysis · Python (Programming Language) · Machine Learning · Geospatial Modeling · Big Data · Geographic Information Systems (GIS) I am always looking for opportunities to connect with different people. Hobbies and talents: I speak fluent Cantonese, and Mandarin and am proficient in English. From Hong Kong