B.S. in Physics with Minor in Applied Mathematics from Illinois Institute of Technology. M.Sc. in Physics from the University of Waterloo, Canada. Completing Perimeter Scholars International program in Theoretical Physics at Perimeter Institute for Theoretical Physics, where he researched on implementations of Generative Models of Machine Learning to simulated measurements of quantum systems, under the supervision of faculty at Perimeter Institute and Vector Institute for Artificial Intelligence. During his undergraduate studies he was Research Assistant at Argonne National Laboratory, U.S.A., working on fields such as accelerator physics, non-linear optics, and laser physics. He also assisted the particle accelerator physics research group at his university. Throughout his research career he has implemented models from data analysis, computational science/physics, and machine learning, in programming languages such as Python, Julia, C++, Wolfram Language/ Mathematica.