As part of the PURE research program, helped develop a surrogate model for Ion Energy Angle Distributions (IEAD) to replace computationally heavy methods.

• Part of the PURE research program with less than a 1% acceptance rate for my position.

• Worked in the Laboratory of Computational Plasma Physics, under Sonata Valaitis and Mhd. Mustafa, to develop an innovative surrogate model for Ion Energy Angle Distributions(IEAD). This is to replace the current computationally heavy methods.

•Converted thousands of lines of MATLAB code and documentation to Python, achieving a staggering 600% faster training time by leveraging GPU processing. This enhanced efficiency streamlines future research and analysis.

• Optimizing data using algorithms like Coordinate inversion and Polynomial Chaos Expansion to fit it in Sparse Grids of various levels.