Teaching Materials
Co-taught with Karthik Srinivasan
Summer 2020, 2021, 2022
Karthik and I taught an math camp for the incoming Chicago Booth PhD students.
We designed a two-week intensive course that includes lecture notes, coding examples, and instructional videos.
The course is comprised over 36 hours of lecture.
My section covers of statistical inference, optimization, and dynamic programming.
Course material is provided on request.
Mercury High Performance Computing Tutorial
Summer 2020, 2021, 2022
I designed and taught a three-hour tutorial on using the Linux high performance computing (HPC) cluster for Chicago Booth PhD students.
Participants interactively learn how to run jobs on the server, use the SLURM job scheduler for submitting jobs, and I provide an overview of the cluster's architecture.
Teaching Experience
Chicago Booth
PhD Program
- Instructor, Booth PhD Math Camp
Summer 2020, Summer 2021, Summer 2022
- TA, Applied Bayesian Econometrics (BUSN 37906)
Spring 2022, Winter 2024
EMBA Program
- TA, Marketing with Big Data (BUSN 37888)
Summer 2019 (Evaluation: 4.68/5.00)
- TA, Marketing for Startups (BUSN 37889)
Summer 2018 (Evaluation: 4.15/5.00)
MBA Program
- TA, Digital and Algorithmic Marketing (BUSN 37304)
Winter 2020, Winter 2021, Autumn 2021
- TA, Algorithmic Marketing Lab (BUSN 37704)
Spring 2020, Spring 2021, Spring 2022
- TA, Data Science for Marketing Decision Making (BUSF 37105)
Winter 2017, Autumn 2020
- TA, Selling and Sales Management (BUSN 37208)
Autumn 2021
- TA, Startup Marketing (BUSN 37108)
Winter 2019
- TA, Big Data (BUSN 41201)
Spring 2023
- TA, Business Statistics (BUSN 41000)
Winter 2024
University of Chicago
- Course Assistant, Perspectives on Computational Analysis (MACS 30000)
Fall 2016, MACSS Program
- Core Tutor for Economics
Fall 2015 - Spring 2016, College Core Tutor Program
Point72 Asset Management
- TA, Data Analytics in R, Point72 Academy
August - September 2015