About

I help organizations transform metocean data into reliable decision support through numerical modeling, operational forecasting, scientific software, and metocean analysis. With more than 15 years of experience spanning consulting and research, I develop technical solutions for offshore energy, coastal infrastructure, and environmental applications. I hold a PhD in Physical Oceanography from Louisiana State University. For over a decade, I worked as a research scientist in the Department of Oceanography at Texas A&M University, developing regional ocean forecast systems and studying coastal ocean dynamics — from submesoscale frontal eddies to boundary-layer mixing and ocean acidification. Recently, I worked at a consulting company dealing with metocean design criteria and site characterization utilizing modeling and publicly available datasets. That combination of applied modeling, research, and consulting is what I can bring to various clients across offshore energy, coastal infrastructure, and environmental projects.

What I Do

I develop decision-support solutions by integrating observations, numerical models, and metocean analyses. When suitable datasets are unavailable, I build regional ocean models and operational forecasting systems to generate the information needed for engineering and environmental decisions.

Metocean Analysis & Ocean Modeling
  • Metocean analysis and services for offshore energy and coastal infrastructure projects
  • Extreme value analysis (EVA) and development of design criteria
  • Regional ocean hindcast and operational forecast systems
  • Coastal and shelf hydrodynamics
  • Coupled wave–current–sediment transport modeling
Technical Consulting & Project Delivery
  • Client-facing technical delivery
  • Project management (scope, schedule, cost)
  • Proposal development and technical scoping
  • Technical reporting and QA/QC
Data Science & Computational Methods
  • Python-based scientific computing and automation
  • Machine learning for metocean datasets
  • Cloud & HPC systems (AWS, Slurm, PBS, MPI)

How I Do

I combine numerical modeling, observations, software engineering, and automation to develop practical solutions for complex coastal and offshore challenges. Whether building an operational forecast system, evaluating metocean conditions, or developing scientific software, my focus is on producing reliable, decision-ready information.

Skills & Tools

  • Metocean Analytics: Design criteria, site characterization, hindcast/forecast systems, coastal processes
  • Numerical Model: ROMS, Delft3D, SCHISM-WWM, SWAN, ADCIRC-SWAN, XBeach, SFINCS, CROCO, DHI MIKE
  • Programming: Python, MATLAB, Fortran, Bash
  • Data Science & AI: Xarray, Scikit-Learn, PyTorch, Dask, Pandas
  • HPC & Cloud: Linux, HPC, Amazon Web Services (AWS)
  • GIS & Data Systems: GIS (QGIS), GDAL, Python GIS (Geopandas, Rasterio, Shapely), THREDDS data server (TDS)
  • AI workflows: Machine learning for metocean data; AI-assisted software development

Let’s Work Together

I am open to opportunities to work as a consultant, a contractor, or a full-time employee. If you are interested in, please contact me on LinkedIn.

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