Teaching

Teaching is central to my work at Columbia. I bring real-world problems into the classroom to show how data and mathematical models can inform better decisions, and I design my courses around interactive, hands-on learning.

Optimization Models and Methods (IEOR E4004)

This is a Master's degree level course that covers some of the main methods used in IEOR applications involving deterministic models: linear, integer, and nonlinear programming; and network optimization models.

Fall 2023 (202 students)
Fall 2024 (207 students)
Fall 2025 (207 students)
Spring 2026 (270 students)

Introduction to Probability and Staticstics (IEOR E4150)

This is a Master's degree level course that covers the fundamentals of probability theory and statistical inference used in engineering and applied sciences. The subjects include (but not limited to) probabilistic models, random variables, useful probability distributions, expectations, law of large numbers, central limit theorem, point and confidence interval estimation, hypothesis tests, and linear regression.

Fall 2024 (165 students)

Analytics in Practice (IEOR E4524)

In this course, groups of students (both undergraduate and master's level) work on real world projects in analytics. Students focus on three aspects of analytics: identifying client's analytical requirements; assembling, cleaning, and organizing data; identifying and implementing analytical techniques (statistics, operations research, machine learning, artificial intelligence); and delivering results in a client friendly format. Each project has a well-defined goal and comes with pre-identified sources of data. All projects have been structured so that they can be completed in one semester.

Spring 2024 (187 MSBA students)
Spring 2025 (15 BSc students)
Spring 2026 (22 BSc students)

Operations Research in Public Policy (IEOR E4505)

This is an elective IEOR course that aims to cultivate skills for impactful societal transformation, and explores IEOR applications in public sectors, addressing diverse challenges in community engagement, systemic social issues, supply chain management, healthcare, sustainable urban development, and workforce planning, all within an ethical and data-driven framework.

Spring 2024 (50 students)
Spring 2025 (60 students)

Healthcare Operations Management (IEOR E4507)

This course is tailored to help engineering and healthcare management students develop modeling, analytical, and managerial skills. Enables students to master an array of fundamental operations management tools adapted to the management of health care systems.

Fall 2025 (27 students)

Math in Action: Operations Research for Social Good (SHAPE)

This is an high school level course that aims to welcome students to a journey where math meets real-world problems. In this course, we explore how mathematics and logical thinking can be used to solve big societal issues.

Summer 2024 (22 students)
Summer 2025 (24 students)
Summer 2026 (25 students)