David Alvarez-Melis
Harvard SEAS CS · Assistant Professor of Computer Science
Research focus: data-centric machine learning · trustworthy machine learning · optimal transport · dataset distillation
保护类 1 项：以数据导向和可信的 ML 申请人标准准备：数据集几何结构、optimal transport、dataset distillation、可解释性、自适应模型或 LLM/数据评估。
Who this advisor fits / 什么情况下适合你
- Applicants should show mathematically grounded ML work around datasets, optimal transport, dataset distillation, evaluation, or trustworthy ML, with clean experiments and reproducible artifacts.
- 申请人应展示基于数学原理的 ML 工作，围绕数据集、optimal transport、dataset distillation、评估或可信的 ML 进行，并具备干净的实验和可重复的元数据。
Public evidence as of 2026-06-10
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