Professor of Medical AI @ SYSU

Building clinically grounded AI, one-person-lab workbenches, independent domain agents, and auditable workflow infrastructure.

This profile serves as a public entry point for my academic and technical work in medical AI, research systems, and clinically grounded workflow design.

The current public surfaces are:

• fenggaolab.org for academic information
• One Person Lab as the top-level workbench for starting work, keeping progress visible, collecting deliverables, and explicitly activating domain agents
• Med Auto Science as an independent medical research domain agent with a single MAS app skill
• Med Auto Grant as an independent medical grant domain agent with a single Med Auto Grant app skill
• RedCube AI as an independent visual-deliverable domain agent with a single redcube-ai app skill

One Person Lab is the top-level workbench for a one-person research lab: one place to start work, keep progress legible, and collect outputs while specialized product families keep their own methods and deliverables.

It currently owns:

• everyday collaboration, general tasks, and workspace-based work
• skill sync, explicit domain-agent activation, service setup, and health checks
• workspace, session, progress, and artifact discovery surfaces
• family-level session/runtime/projection orchestration plus shared contracts, indexes, and thin coordination surfaces
• visibility for Research, Grant, and Presentation Foundries from one workbench

Domain agents keep their own canonical domain truth, stable callable surfaces, audit writeback, runtime records, and delivery boundaries.

Human
  -> One Person Lab workbench
      -> General work and workspace-based tasks
      -> Progress, files, settings, health, and domain-agent activation
      -> Explicit domain-agent activation
          -> Research Foundry -> Med Auto Science app skill
          -> Grant Foundry -> Med Auto Grant app skill
          -> Presentation Foundry -> redcube-ai app skill

Default local execution:
  Codex-default session/runtime semantics

Integration/reference layer:
  CLI, MCP, product-entry contracts, projections, and repo-tracked schemas

Future workstreams such as Thesis Foundry and Review Foundry stay in definition until their domain package and public boundary are ready.

Med Auto Science is the current active medical research implementation on the Research Foundry line.

It focuses on medical research operations, including:

• disease-workspace organization
• data governance
• study progression
• evidence packaging
• manuscript and submission delivery

Med Auto Grant is the active medical grant implementation on the Grant Foundry line.

It focuses on author-side grant operations, including:

• direction screening
• question refinement
• argument building
• proposal drafting
• critique, revision, and package export

RedCube AI is the active visual-deliverable implementation on the Presentation Foundry line.

It currently focuses on:

• ppt_deck and presentation-grade visual delivery
• visual deliverable governance and review loops
• agent-first production of audited visual artifacts

Together, the current public shape is:

One Person Lab -> explicit MAS activation -> Med Auto Science

alongside:

One Person Lab -> explicit MAG activation -> Med Auto Grant

alongside:

One Person Lab -> explicit RCA activation -> RedCube AI

My current work is centered on:

• clinically grounded AI for colorectal cancer
• agent-first, human-auditable domain systems
• medical research workflow design
• one-person-lab infrastructure for research, grant, and visual delivery work

• Academic site: fenggaolab.org
• One Person Lab: gaofeng21cn/one-person-lab
• Med Auto Science: gaofeng21cn/med-autoscience
• Med Auto Grant: gaofeng21cn/med-autogrant
• RedCube AI: gaofeng21cn/redcube-ai