Paul Liang
MIT EECS (CS) · Sony Career Development Professor of Media Arts and Sciences; Assistant Professor [AI+D], shared appointment with Media Arts and Sciences (MAS) and EECS
Research focus: Artificial Intelligence + Machine Learning · Human-Computer Interaction · Natural Language and Speech Processing
针对 Paul Liang 的手动申请准备审核：Prepare as a multimodal/multisensory AI applicant with real ML depth, not just a broad interest in human-AI interaction.
Who this advisor fits / 什么情况下适合你
- You want ML tied to real data and deployable problems (signal: Artificial Intelligence + Machine Learn… · Human-Computer Interaction).
- Applicants should treat this as a high-bar new lab for multimodal AI, affective computing, human-AI symbiosis, and multimodal foundations.
- 你想把 ML 接到真实数据与落地问题（当前信号：Artificial Intelligence + Machine Learn… · Human-Computer Interaction）。
- 围绕「人工智能 + 机器学习、Human-Computer Interaction、Natural Language and Speech Processing」准备申请叙事：结合公开证据说明研究深度、可复现产出，并自行核实招生与资助（原文为英文策展句，此处为方向性摘要）。
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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