CFD • HPC • AI

High‑fidelity CFD & AI for resilient infrastructure, clean energy, and public health

Ph.D. researcher at Iowa State University (Computational Science) with experience at Lawrence Livermore National Laboratory. I build scalable simulation and AI pipelines that move from fundamental research to real‑world policy and operations.

ASHRAE‑aligned K‑12 ventilation models LLNL isotope‑separation CFD NeRF crop digital twins
25+
Citations (Plant Phenomics 2023)
$25M
School retrofit impact
10x
Speedups via HPC pipelines
3
Active reviewing roles
Available for collaborations, internships, and consulting in 2025.

Featured Work

All projects →

K‑12 Classroom Ventilation (CFD → Policy)

High‑fidelity CFD of real classrooms informing ASHRAE 241 guidelines and state‑level retrofits across Iowa/DMPS.

  • OpenFOAM
  • EnergyPlus
  • MPI/HPC

AVLIS Isotope‑Separation (LLNL)

Ultra‑high vacuum laser isotope‑separation modeling; integrated into national‑interest evaluation workflows.

  • CFD
  • UHV
  • Python

NeRF Digital Twins for Crops

Field‑deployable NeRF pipeline for 3D plant geometry reconstruction; open research artifacts and benchmarks.

  • PyTorch
  • NeRF
  • Photogrammetry

Projects

Publications

CV Highlights

Education

  • Iowa State University — Ph.D., Mechanical Engineering (Computational Science), Expected 2026
  • KNUST — B.Sc., Mechanical Engineering, 2021

Experience

  • Lawrence Livermore National Laboratory (LLNL) — Research Scholar, National Security Engineering Division (Summer 2024)
  • Center for Building Energy Research, ISU — Graduate Research Assistant (2022–Present)
  • Engineers Without Borders (ISU & KNUST) — VP / Project Lead (2018–2021)

Honors & Memberships

Sigma Xi • Pi Tau Sigma • ASME VOLT • APS • AIAA • US‑RSE

Talks & Presentations

Let’s collaborate

Open to collaborations in CFD/HPC/AI, internships, and consulting engagements. Based in Ames, IA.

Location: Ames, IA

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