ISyE 6673: Financial Optimization

Industrial and Systems Engineering, Georgia Tech (Fall 2022, Fall 2023)

CIOS Honor Roll (Fall 2022, Fall 2023)

An introduction to all things optimization for students in the Masters of Quantitative and Computational Finance (QCF) at Georgia Tech. Topics include convexity, linear programming, duality, and a tasting of nonlinear/robust/stochastic/integer optimization.

ISyE 3133: Engineering Optimization

Industrial and Systems Engineering, Georgia Tech (Spring 2023)

Introduction to optimization modeling and algorithms for industrial engineering undergraduates.

15.S60: Computing for Optimization and Statistics

Operations Research Center, MIT (Winter 2018, Winter 2019, Winter 2020, Winter 2021)

A "by researchers, for researchers" introduction to computational tools in optimization, data science and machine learning. Covered topics include R and the tidyverse, Julia and JuMP, and useful extras like designing an academic website and using high-performance computing servers.

15.S41: Software Tools for Business Analytics

Sloan School of Management, MIT (Winter 2018, Winter 2020)

A gentle introduction to computing tools in optimization and data science for undergraduates majoring in business analytics.

15.083: Integer Programming and Combinatorial Optimization

Sloan School of Management, MIT (TA, Spring 2021)

In-depth PhD course on the theory and applications of discrete optimization.

15.071: The Analytics Edge

Sloan School of Management, MIT (TA, Spring 2018)

Develops models and tools of data analytics that are used to transform businesses and industries, using examples and case studies in e-commerce, healthcare, social media, high technology, criminal justice, the internet, and beyond.