Weiwei Pan
Data Science Graduate Program Advisor and Lecturer, Institute for Applied Computational Science
Harvard University
Disciplines: Computer Science
Weiwei is a machine learning researcher in the Data to Actionable Knowledge (DtAK) lab at Harvard. Her PhD is in pure mathematics and her current work focuses on building machine learning models with guaranteed properties that align with task-specific desiderata, such as human interpretability, risk-awareness and satisfaction of domain-specific constraints.
