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Yistar.

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About

Genetics, Developmental Biology & Bioinformatics · AI Agent Systems Engineering

Position

Between biological questions and engineered systems.

Life science taught me to respect questions, boundaries, and evidence. Engineering lets me turn that discipline into reusable, verifiable tools.

01

Focus

Life science, genetics & development, bioinformatics. Finding answers to biological questions with computational methods.

02

AI Collaboration

ChatGPT for requirement discussion and solution design. Local agents (Codex, Claude Code, OpenCode) for code execution. The user handles problem definition, boundary setting, verification, and product direction. AI is a tool; humans make decisions.

03

Research & Engineering Methodology

Define the biological question first, process data with bioinformatics and statistical computing, and use verifiable AI agent workflows to support software implementation and reproducibility.

Journey

A path shaped by real work.

  1. 01Life science studies, building a biology foundation
  2. 02Bioinformatics & data analysis, introducing computation into research
  3. 03Using AI coding agents, making AI a daily development tool
  4. 04Building tools from personal needs, solving real-world pain points
  5. 05Open building continuously, sharing the process and experience