Research Portfolio

Personal research portfolio for Whyte Goodfriend M., focused on solar photovoltaics, machine learning, data quality, and applied energy analytics.

Overview

The site presents research experience, publications, and software projects at the intersection of photovoltaic systems and data science. It is designed as a fast, accessible static website that can be deployed consistently to GitHub Pages and Vercel.

Highlights

• Research experience in photovoltaic system modeling and outdoor PV analysis
• Peer-reviewed publications and conference contributions
• Machine-learning projects for forecasting, anomaly detection, and data quality
• Applied AI tools with provenance, citations, and domain-specific workflows
• Public-safe downloadable CV
• Responsive project previews and social-sharing metadata

Technology

• Next.js App Router
• React and TypeScript
• Tailwind CSS
• Static export for GitHub Pages
• GitHub Actions deployment

Project Structure

src/app/          Pages, metadata, sitemap, and robots configuration
src/components/   Shared navigation, layout, and project components
src/lib/          Site path helpers
public/previews/  Project preview images
public/           Social image and public-safe CV
.github/workflows GitHub Pages deployment workflow

Local Development

Requirements: Node.js 24 and npm.

npm ci
npm run dev

Open http://localhost:3000 in a browser.

Quality Checks

npm run lint
npm run build

The production build is exported to out/.

Deployment

Pushes to main trigger the GitHub Actions workflow in .github/workflows/pages.yml. The workflow installs dependencies, creates the static export, and publishes it to GitHub Pages.

The Next.js configuration automatically applies the /portfolio base path during the GitHub Actions build while keeping local and Vercel routes unchanged.

Privacy

Only a public-safe CV is included in this repository. Private contact details and private source documents are intentionally excluded from version control.