Professional Experience

Teaching Assistant

Sep 2023 - Present
University of Edinburgh
Host and assist with physics and computer simulation workshops. Perform experiments to consolidate student understanding of complex concepts.

Undergraduate Researcher

Aug 2019 - May 2021
University of Central Florida
Conducted research in Prof. Richard Klemm's group. Designed Mathematica programs to analyze symmetry patterns and identified $C_{3v}$ wave function symmetries in equilateral triangular systems.

Learning Assistant

Jan 2020 - May 2020
University of Central Florida
Facilitated student learning of introductory physics concepts via recitations and problem-solving sessions.

Education

PhD in Condensed Matter Physics

March 2023 - Present
University of Edinburgh
Supervised by Prof. Elton J. G. Santos.
Thesis: Multi-scale approach for spin dynamics on Two-Dimensional (2D) Magnetic Materials and Applications.

Master (MSc) in Physics

Oct 2021 - Oct 2022
Imperial College London
Graduated with Distinction (1st Class).
Thesis: Spin Torque Nano-Oscillators (STNO) and possible applications in artificial neural network on image processing, sound recognition, etc.

Bachelor of Science in Physics and Mathematics

Graduated May 2021
University of Central Florida
Dual Major. GPA: 3.9 in Physics, 3.75 overall.

Skills

  • Simulation & Modeling: Micromagnetic (MUMAX3), Atomistic (VAMPIRE)
  • Programming: Python, C, Java, MATLAB, Mathematica, Bash/Zsh
  • HPC & Administration: Arch Linux, HPE Cray (Archer2), Cirrus Supercomputer, Btrfs, Docker, Job scheduling
  • Data Visualization & Analysis: ParaView, Povray, Matplotlib, Gnuplot
  • Electronics & Hardware: Oscilloscopes, multimeters, circuit design, PC building and power efficiency tuning

Biographical Summary

I am a dedicated condensed matter physicist specializing in computational magnetism. My research aims to uncover the complex spin interactions in thermodynamically stable two-dimensional van der Waals magnetic materials. By bridging atomistic and micromagnetic simulation techniques with cutting-edge experimental data, I work to reveal the physics governing novel topological textures like skyrmions, facilitating the development of unprecedented, power-efficient spintronic devices. With a strong foundation in both high-performance computing environments and theoretical physics, I strive to provide actionable insights that guide both academic exploration and future industrial applications.