Lecturer in the Discipline of Industrial Engineering and Operations Research at Columbia University
I am a Lecturer in the Industrial Engineering and Operations Research Department at Columbia University. My teaching and research apply large-scale optimization, simulation modeling, and machine learning to advance social justice, equity, and access in the systems that shape people's lives. Recognizing the complexity of these challenges, I take a community-based approach that centers the voices and needs of the people made vulnerable by these systems.
Teaching
At Columbia I teach core Master's courses including Optimization Models and Methods (IEOR E4004) and Introduction to Probability and Statistics (IEOR E4150), alongside electives for Master's and undergraduate students such as Operations Research in Public Policy (IEOR E4505), Healthcare Operations Management (IEOR E4507), and Analytics in Practice (IEOR E4524). In my teaching, I emphasize interactive learning, bringing real-world problems into the classroom to demonstrate how data-driven mathematical models can inform decision-making.
Beyond the classroom
I serve on the faculty task force for Artificial Intelligence for Social Good and Society.
My work doesn't happen in isolation. Across research, teaching, and service, I'm lucky to collaborate with students, colleagues, community partners, and people with lived experience — and most of what I'm proud of has been built together. A few moments from along the way.
