About Me

Theoretical and computational chemist focused on fragment-based ab initio methods and the high-performance computing software that makes them practical at scale.

I currently split my time between quantum chemistry theory, GPU-ready implementations, and collaborative projects that translate academic advances into tools research labs can deploy.

As a Postdoctoral Fellow at the University of Colorado Denver, I'm co-advised by Professors Emilie Guidez and Hai Lin, leading method development for multi-layer adaptive partitioning (MAP) and accelerator-aware electronic structure workflows.

Open science and mentorship are core to my work. I maintain public repositories whenever possible, support early-career researchers adopting GAMESS-derived tooling, and enjoy collaborating with interdisciplinary teams across chemistry, applied math, and computer science.

Career Journey

2024 – Present

Postdoctoral Fellow

University of Colorado Denver

Leading method development for multi-layer adaptive partitioning (MAP) and accelerator-aware electronic structure workflows.

2022 – 2024

Postdoctoral Research Associate

Ames National Laboratory

Advanced extreme-scale GAMESS development for heterogeneous supercomputing architectures.

2015 – 2022

Graduate Research Assistant

Gordon Group, Iowa State University

Developed treatments of interfragment covalent bonds, scalable Non-orthogonal MO expansions, and contributed to GAMESS.

2014 – 2015

Undergraduate Researcher

Prody Lab, Western Washington University

Built computational pipelines for structural biology and spectroscopy projects.

Education

2022

Ph.D., Physical Chemistry

Iowa State University

Dissertation: Developments in fragment-based quantum chemistry: Flattening the curve (advisor: Mark S. Gordon)

2015

B.S., Chemistry

Western Washington University

2012

A.S., Chemistry

Clark College

Technical Expertise

Quantum Chemistry

Fragment-based methodsMAPQM/MMSAPTEFPDFT

High-Performance Computing

MPIOpenMPCUDAGPU AccelerationPerformance Engineering

Programming Languages

RustFortranC++PythonCUDA

Tools & Frameworks

CMakeGitCI/CDNumPySciPy

Software Development

GAMESSlibfragRCChemScientific Python

Research Skills

Method DevelopmentBenchmarkingTechnical WritingMentoring

Recognition & Awards

MolSSI Software Investment Fellow (2020–2021)
Klaus Ruedenberg Theoretical Chemistry Award
Witiak Graduate Fellowship
Alpha Chi Sigma Research Award
Research and Creative Opportunities Award
Open to New Opportunities

Let's Connect

I'm actively exploring positions in industry, national laboratories, and academia. If you're looking for expertise in computational chemistry, HPC, or scientific software development, let's talk.

Get in Touch