Primary Instructor

• Introduction to Machine Learning and Data Analytics (INDENG 142).Spring 2025, UC Berkeley.
• Optimization Analytics (INDENG 240). Fall 2024, UC Berkeley.
• Analysis and Design of Databases (INDENG 215). Fall 2024, UC Berkeley.
• Linear Algebra and Differential Equations (553.291). Summer 2023, Johns Hopkins University.
• The Role of Mathematical Optimization in the 21st Century (500.111). Fall 2022, Johns Hopkins University.
• Introduction to Scientific Programming in Python (553.285). Winter 2022, Johns Hopkins University.
• Introduction to Scientific Programming in Python (553.285). Winter 2021, Johns Hopkins University.

Teaching Assistantships

• Combinatorial Optimization 553.766, Spring 2022.
• Probability Theory II 553.721, Spring 2021.
• Stochastic Processes 553.626, Spring 2021.
• Probability Theory 553.720, Fall 2020.
• Introduction to Probability 553.420/620, Fall 2020.
• Introduction to Probability 553.420/620, Spring 2020.
• Scientific Computing: Differential Equations 553.384, Spring 2020.
• Introduction to Probability 553.420/620, Fall 2019.
• Mathematical Modeling and Consulting 553.600, Fall 2019.

Other Teaching

• INMAS Python Workshop. October 2021, Johns Hopkins University.
• Calculus Instructor, CSTEP Program Fordham University, Fall 2018 & Spring 2019.

Awards

• Prof. Joel Dean Award for excellence in teaching: 2019/20, 2020/21, 2021/22
• Whiting School of Engineering Teaching Award: 2022 finalist
• Promotion to JHU Applied Math and Statistics Teaching Fellow 2022
• Promotion to JHU Applied Math and Statistics Apprentice Teaching Fellow 2021