Computational Physics PhD with 8 years of research and 15 year of programming experience
Interests
Data Driven Modelling \bullet{} Physics \bullet{} Computation
Education
Doctor Of Philosophy in Physics
May 2025
North Carolina State University
Raleigh, NC
Master of Science in Physics
December 2022
North Carolina State University
Raleigh, NC
Bachelor of Science in Physics
December 2019
University of Illinois at Urbana-Champaign
Urbana, IL
Experience
Nonlinear Dynamics and Deep Learning
August 2020 - present
NC State University | Dr. William Ditto
Dissertation on Differentiable programming with Nonlinear Dynamics
- Showed increased expressivity in neural networks through metalearning of activation functions(Published, Patent Pending)
- Crafted gradient based optimization framework for reconfigurable nonlinear logic gates(Preprint available, Patent Pending)
- Improved neural network convergence by growing neurons in situ during training(Preprint available, Patent Pending)
- Controlled noisy chaotic dynamics using self-supervised neural network to configure stochastically integrated complex systems
High Energy Physics and Deep Learning
August 2018 - July 2020
University of Illinois and CERN | Dr. Benjamin Hooberman
- Developed NLP inspired neural network architectures in PyTorch to process data from the ATLAS Detector
- Maintained public codebase to compare effectiveness of contemporary techniques
- Setup integration of model into ATHENA(root/c++) framework
Lee Teng Fellow | Applied Superconductivity
May 2018 - August 2018
Fermi National Accelerator Laboratory | Dr. Mattia Checchin
- Performed and analyzed vertical radio-frequency(RF) tests of superconducting RF cavities in the framework of Fermilab’s high-gradient high-Q research
- Simulated effect of impurity layer on superconductors to compare with theory
- Achieved a 48× increase in data processing efficiency by automating key sections of the processing pipeline
Condensed Matter
October 2016 - May 2018
University of Illinois | Dr. Virginia Lorenz
- Designed and fabricated thin films for use in magneto-optic experiments
- Analyzed feasibility and laid foundation for second harmonic optical system to image the magnetic ordering of ferromagnets and metallic antiferromagnets
- Findings lead to publication in Nature Nanotechnology
Teaching
NCState Graduate Teaching Assistantship
Creating computational course resources for Instructors
Fall 2024
Introductory Physics Labs Instructor
Summer 2024
EaRL in the Classroom Instructor-Supervisor
Summer 2023–Spring 2024
Introductory Physics Labs Instructor
Summer 2022–Spring 2023
Physics Tutoring centre Tutor
Fall 2021–Spring 2022
Organization of mechanics lab
Summer 2021
Introductory Physics Labs Instructor
Fall 2020–Spring 2021