About

I am Pengyi, an AI scientist in training and quant research engineer.

My current direction is to build public, reproducible AI research systems for quantitative discovery:

• AI agents for factor hypothesis generation
• Automated implementation, backtesting, and diagnosis
• Research memory and experiment lineage
• Human PM review before any research decision becomes production-facing
• Public-safe demos, technical reports, and open-source infrastructure

This site is my public research asset ledger. It records the learning path, engineering output, papers, projects, and application narrative behind the RA / PhD / AI research transition.

Public rule: only sanitized, non-confidential, open-source-safe materials should appear here.