I am a computational physicist with expertise in data science, numerical analysis and scientific simulations. I currently work at Georgia State University and specialize in developing software that solves complex problems in molecular analysis. I am passionate about using my skills in scince and technology to develop energy solutions to promote a more sustainable future. My career objective is to pursue a PhD in high energy Nuclear Physics to work towards developing the new generation of fusion powerplants that will power the future.

A comprehensive Voronoi cell network generator for 3D spheres designed for simulated molecular dynamics (md) analysis. This software creates it's partitionings using a sampling of points from a Voronoi S-Network providing more detailed measurements of volumes and surface areas of relevant atomic groupings (residues, chains, sheets, etc.) In combination with molecular simulation software, the evolution of these measurements can provide insight into key biological processes.

The Grand Unified Theory of Classical Physics, developed by Dr. Randall Mills, experiments with the idea of using electromagnetism to unify quantum mechanics with classical physics. These phenomena are simulated using python, starting with the Young's double slit experiment and Stern-Gerlach with the "classical electron". -current vector feilds forming the electromagnetic current of the classical electron. Domain of the BECVF and OCVF (middle). The two configurations are then combined to show the full geometric representation of the Orbitsphere (electron)

I recieved my Bachelor's degree in Physics with an emphasis in Electrodynamics and Computational Optics. I was able to graduate a year early while still taking adiditonal coursework in Mathematics, Engineering and Computer Science

Working towards a degree in Data Science with a Math minor (May 2024). I have been employed as a scientific programmer/pre-doctoral fellow by the Chemistry Department with Dr. Gregory Poon, developing analysis software for simulated atom files, Molecular Dynamics simulations and Nuclear Magnetic Resonance data.

Modern Physics, Math Methods in Physics, Thermodynamics, Electicity and Magnetism, Optics, Electronics, Quantum Mechanics, Mechanics

Partial Differential Equations, Math Proofs, Sequences and Series, Advanced Linear Algebra

Data Structures, Machine Learning (in Progress), Big Data Programming (In Progress)

2018 - Physics Department<br> Working in an optics lab we measured the Faraday rotation of polarized light in various dielectric materials under a strong magnetic field. Controlling the rotation of polarized light has applications in ranging technologies from visual display to fiber optics.

2021-Present - Chemistry Department<br>

The use of Nuclear Magnetic Resonance (NMR) data is used to analyze biological processes as they occur. By perturbing the nuclei of atoms (similar to MRI) and recording the frequency of the radiation that is returned atomic movements can be tracked at the nanosecond scale.

Molecular dynamics (MD) uses physically realistic physics packages to leapfrog atomic movements and predict biological and other atomic scale interactions. These interactions tend to be stochastic and provide large amounts of data. With the use of principal component and time series analysis physically significant phenomena can be extracted and measured.

Email: [email protected] or [email protected]
LinkedIn: linkedin.com/in/jackericson98

Feel free to reach out to me via email or LinkedIn if you have any questions or would like to discuss collaboration opportunities.

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