Project Context: Personal Website for Connor Lockhart
Project Context: Personal Website for Connor Lockhart
Overview
This is a Jekyll-based personal website for Connor Lockhart, a Math PhD student at the University of Maryland. The website serves as a portfolio for job applications, specifically targeting the Quantitative Finance and Machine Learning industries.
Goals
- Showcase Projects: Prominently display GitHub projects, especially those related to Quant Finance and ML.
- Academic Work: Display publications, talks, and teaching history.
- CV/Resume: Provide easy access to the CV.
- Professional Image: Clean up the site to look professional and ready for recruiters.
Key Focus Areas
- Quantitative Finance
- Machine Learning
- Mathematics (Model Theory, Probability, Geometry, Combinatorics)
Technical Details
- Static Site Generator: Jekyll
- Theme: Minimal Mistakes (or similar derivative)
- Hosting: GitHub Pages
- Configuration:
_config.yml - Data:
_data/navigation.yml,_data/authors.yml - Content:
_pages/,_posts/,_portfolio/,_publications/,_talks/,_teaching/
User Preferences
- The user is “Connor Lockhart” (Connor Martinez Lockhart).
- Operating System: Darwin (macOS).
- The user wants the site to be “flushed out” and “decorated”.
Instructions for AI Agents
- When adding projects, prioritize those with financial or ML relevance.
- Ensure the tone is professional and academic but accessible to industry recruiters.
- Maintain the existing directory structure.