MIT 15.095 | Machine Learning under a Modern Optimization Lens, Teaching Assistant, Fall 2021
Provided Masters and Ph.D. students with a unified, insightful, and modern treatment of machine learning using the lenses of convex, robust, and mixed-integer optimization. Introduced students to optimization coding in Julia.
Led recitations, assisted students, created course material, developed Julia tutorials, wrote and graded assignments and exams.
MIT 15.076 | Analytics for a Better World, Teaching Assistant, Spring 2023
Introduced undergraduate students to fundamental techniques of using data, including advanced modeling, and how to think structurally about decision problems to make informed management decisions.
Created and delivered weekly recitations, assisted students with Python and Julia, wrote and graded assignments and projects.
MIT 15.060 | Data, Models, and Decisions, Teaching Assistant, Fall 2020
Introduced MBA students to fundamental techniques of using data, including advanced modeling, and how to think structurally about decision problems to make informed management decisions.
Prepared and recorded supplementary lectures, assisted students with R, wrote and graded assignments and exams.
MIT 15.003 | Analytics Tools, Instructor, Fall 2021, Winter 2022, Fall 2022
Created and taught Python workshops on data wrangling, visualization, machine learning, deep learning, and computer vision.
Introduced Master's and Ph.D. students to explainability, ensemble modeling, autoML, neural networks, and transfer learning.
MIT 15.S60 | Computing in Optimization and Statistics, Instructor, Winter 2021, Winter 2022
Provided Ph.D. students with an overview of state-of-the-art techniques and tools used in machine learning and deep learning
CentraleSupélec | Machine Learning, Mentor, Spring 2018
Advised three teams of four students to conduct research on the Epidemium machine learning challenge