I believe that foundational understanding of optimization and the nuanced challenges of reliable, robust and trustworthy AI are crucial to preparing the next generation of leaders and scientists. I have developed new courses, enhanced existing ones, and tailored the delivery of key concepts depending on the audience – graduate students, undergraduates, K-12 school students, lawyers and policy professionals. In the past, I have received two teaching honors namely Student Recognition of Excellence in Teaching: Class of 1934 CIOS Honor Roll in 2020 and in 2021 at Georgia Tech. At MIT, I teach courses broadly in OR and statistics, e.g., on optimization and data analytics. I was also a part of the cross-disciplinary SERC faculty action group at MIT from 2023-2024, tasked with designing new educational material that creates a dialogue on social and ethical responsibilities of computing.
Here’s the list of courses I have taught recently:
- 15.071 The Analytics Edge, Spring 2025
- Leading the AI-Driven Organization, Spring 2024
- 15.071 The Analytics Edge, Spring 2024
- 15.081 Introduction to Mathematical Programming, Fall 2023.
Previously, at Georgia Tech:
- ISYE 7661: Linear Inequalities, Fall 2022.
- ISYE 7687: Advanced IP: Submodular Polyhedra, Spring 2022 (cancelled due to medical reasons).
- ISYE 4803: Online Learning and Decision Making, Fall 2021.
- ISYE 7686: Advanced Combinatorial Optimization, Spring 2021.
- ISYE 4803: Online Learning and Decision Making, Fall 2020.
- ISYE 7686: Advanced Combinatorial Optimization, Spring 2020.
- ISYE 4803: Online Learning and Decision Making, Fall 2019.
- ISYE 7686: Advanced Combinatorial Optimization, Spring 2019.
- ISYE 4803/8803: Online Learning and Decision Making, Fall 2018.
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