Education
Colorado School of Mines Golden, CO
M.S. in Computational and Applied Mathematics
May 2027 (Expected)
- 4.0 Graduate GPA
- Focus areas include Scientific Computing, Optimization, and High-Performance Computing
B.S. in Computational and Applied Mathematics
December 2025
- 3.98 Undergraduate GPA, Summa Cum Laude
- Outstanding Graduating Senior Award
- Dean’s List (5x), Member Tau Beta Pi Honor Society
Work Experience
Graduate Research Assistant, Colorado School of Mines
January 2026 - Present
- Member of the Martin Group led by Dr. Eileen Martin and the Center for Wave Phenomena
- Researching compressed data formats for geologic imaging applications
- Contributing to the open-source library DASCORE
Research Participant Program Intern, National Laboratory of the Rockies
August 2025 - September 2025
- Contributed to SOOGO, an open-source Python library for derivative-free optimization algorithms
- Implemented surrogate-assisted derivative-free optimization algorithms for expensive functions with hidden constraints
- Experimented with algorithm optimizations targeting specific renewable energy use cases
Summer Undergraduate Laboratory Intern, National Laboratory of the Rockies
May 2025 - July 2025
- Developed pyGOBLET, an open-source Python library for benchmarking global optimization algorithms
- Designed abstract interfaces and modular software architecture to enable extendibility and user integration
- Implemented automated testing and deployment workflows
- Created extensive documentation to support library users
- Collaborated with researchers to align software with scientific needs
- Presented work in daily meetings, a research paper, and a poster session
Data Analyst, Apiari LLC
Freelance
- Analyzed de-identified electronic health record data to generate actionable healthcare analytics
- Built interactive dashboards to visualize hospital, provider, and indication-level trends
Undergraduate Research Assistant, Colorado School of Mines
August 2024 - May 2025
- Developed dimensionality reduction tools for Active Subspace Coarse-Graining, a computational framework for studying molecular protein dynamics
- Derived equations of motion in non-Cartesian coordinate systems for molecular dynamics simulations
- Contributed to machine learning components in the ASCG workflow
- Collaborated with an interdisciplinary team combining experience in chemistry, physics, mathematics, and computer science
Math Tutor, Red Rocks Community College
August 2022 - Present
- Assisted up to 30 students at a time in courses from Pre-Calculus to Differential Equations and Linear Algebra
- Communicated mathematical concepts clearly to students with varying levels of experience and comfort
- Collaborated with other tutors to ensure all students received the support they needed
Co-Founder, DBGB LLC
June 2020 - August 2024
- Co-founded an automotive parts company, growing it from an initial investment of 300 dollars to quarterly revenues exceeding 100,000 dollars
- Achieved sales of over 15,000 parts
- Performed market analysis to identify growth pathways
- Managed online inventory systems and business operations
Selected Projects
AlgoBOWL Competition Winner
Fall 2025
- Developed a high-performance solver for the combinatorial puzzle game Same Game, maximizing game score under move and scoring constraints
- Designed multiple algorithmic strategies with parallelized implementations to run on HPC systems
- Achieved top performance on 58% of competition inputs, outperforming all other teams
Parallel PSO Algorithm
Fall 2025
- Developed a distributed-memory parallel implementation of Particle Swarm Optimization (PSO) using MPI, enabling scalable global optimization for high-dimensional objective functions
- Built comprehensive unit and integration test suites validating numerical correctness, MPI communication behavior, reproducibility, and consistency between serial and parallel results
Medical Device Simulation
Spring 2025
- Worked with an engineering firm to model a prototype medical device using Computational Fluid Dynamics
- Developed an in-house PDE model and numerical solver to simulate device behavior over time
Skills
Programming Languages
Python, C, C++, MATLAB, R
Libraries & Frameworks
Numpy, SciPy, TensorFlow, PyTorch, Pandas, Matplotlib, pyTest
High-Performance Computing
OpenMP, MPI, SLURM
Tools & Technologies
Git, $\LaTeX$
Technical Areas
Scientific Computing, Numerical Optimization, Machine Learning, Computational Modeling, Data Science, Parallel Computing
Selected Coursework
Graduate Courses
- High-Performance Computing
- Numerical Partial Differential Equations
- Advanced Computational Fluid Dynamics
- Computational Linear Algebra
- Artificial Intelligence
Undergraduate Courses
- Data Science
- Mathematical Modeling
- Mathematical Biology
- Mathematical and Computational Neuroscience
- Numerical Optimization
- Data Structures and Algorithms
- Programming and Hardware Interface