Thomas Bui

Thomas Bui
B.S, Applied Mathematics, Undergraduate

Cohort Level: Cohort - V

Career Goal: After I graduate from my current degree program, I plan on either getting an internship or continuing research as well as attending graduate school.

Expected Graduation Date: May 20, 2022

Degree: B.S Applied Mathematics

Research Title: Data Visualization ad Machine Learning Methods for ENSO signal predictios

Research Synopsis: We are using 3D data visualization, machine learning, and NOAA data of GODAS, WOA, and ERSST to predict El Nino signals. We also use the NASA JPL assimilated ocean model data at 1 degree, 33 layers and at 1/4 degree, 33 layers. Our innovation is to computer the covariance of the ocean data 3 dimensionally instead of a layer-by-layer approach. This requires mathematical methods to handle large datasets (over 2TB), fast computing, 3D visualization, and machine learning. I will focus on 3D visualization and machine learning, coding in MatLab and Python.