Theoretically Possible

Kyle Bomeisl

Mathematical and Computational Physics

I spent three years at the Pixley Condensed Matter Physics Research Group of Rutgers University developing advanced numerical methods for simulating complex quantum many-body systems using cold atom dynamics and implementing them on high performance computing clusters. Every background animation was created by me and is a computational simulation of a real physical system (the last one is Conway's Game of Life).

Kyle Bomeisl

Background & Experience

Awards and Honors

Physics | Bachelor's Degree | Rutgers University (Cum Laude)

3rd place in the 2021 TalTech International Olympiad

6th place in the 2012 North American Debate Championship

Mathematical Physics

Extensive experience developing and implementing numerical and analytical solutions for complex physical problems. Proficient in finite difference, finite element, Monte Carlo, fast numerical methods.

High-Performance Computing

Professional experience with HPC clusters, parallel processing frameworks, and distributed computing. Skilled in optimizing scientific programs for supercomputing environments and managing large-scale computational workflows.

Research Interests

Cold atom dynamics, condensed matter systems, cellular automata, and computational fluid dynamics

Technical Expertise

Programming Languages

  • Python (NumPy, SciPy, Matplotlib)
  • Java
  • Kotlin
  • Julia
  • C++

Numerical Methods

  • Linear Algebra
  • Monte Carlo Simulations
  • Finite Element Methods
  • Fast Multipole Methods

High-Performance Computing

  • SLURM Job Scheduling
  • Parallel Processing
  • Linux HPC Clusters
  • Distributed Computing

Tools & Software Development

Scientific Computing: Experience with MATLAB, Mathematica, Julia, and Python based solutions to sophisticated physical problems

Software Development: Conceptualization and development of entire Web and Android apps from the ground up

HPC Systems: SLURM job scheduling, Linux and Unix cluster computing, large scale computational workflow optimization

Specializations: Numerical linear algebra, sparse matrix problems, engineering optimization, fast numerical methods, cold atom dynamics, condensed matter systems

Let's Collaborate

Interested in computational physics research, numerical methods development, or high-performance computing solutions? Let's explore challenging problems in mathematical physics and scientific computing together.