Christopher MacLellan
Georgia Tech CS · Associate Professor
Research focus: teachable AI · AI in education · cognitive systems · human-AI teaming
手动审核申请准备：以 AI 教育/认知系统申请人身份准备，具备可辅导、可教学化的代理或 human-AI teaming 类实体。
Who this advisor fits / 什么情况下适合你
- You want ML tied to real data and deployable problems (signal: teachable AI · AI in education).
- Applicants should show evidence of building learning/teaching systems: intelligent tutors, user studies, cognitive models, or teachable agents. A pure LLM application pitch should be tied to pedagogy,
- 你想把 ML 接到真实数据与落地问题（当前信号：teachable AI · AI in education）。
- 申请人应展示构建学习/教学系统（如智能辅导器、用户研究、认知模型或可教学代理）的证据。纯 LLM 应用提案应紧扣教学法、评估或人类学习理论。
What to watch for / 什么情况下要慎重
- You want pure theory ML with little domain data or cross-disciplinary collaboration.
- 你要的是纯理论 ML、几乎不碰领域数据或跨学科合作。
Public evidence as of 2026-06-10
These are decision-support signals compiled from public evidence (faculty pages, publications, lab sites) to help you ask better questions — not a ranking, rating, or allegation about this advisor. / 以上为基于公开信息整理的择校参考，帮助你提出更好的问题，并非排名、评分或对该导师的指控。
Ask a verified 学长学姐 / 同校 .edu 认证点评
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