Teaching Materials
Karthik and I taught a 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 comprises over 36 hours of lectures. My section covers statistical inference, optimization, and dynamic programming. Course material is provided on request.
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 learn interactively how to run jobs on the server and submit them with the SLURM job scheduler, and I give an overview of the cluster's architecture.
Teaching Experience
The Wharton School of the University of Pennsylvania
Introduction to Marketing (MKTG 1010)
Spring 2025, Spring 2026, Spring 2027
Chicago Booth
PhD Program
Booth PhD Math Camp
Summer 2020, Summer 2021, Summer 2022
Applied Bayesian Econometrics (BUSN 37906)
TA · Spring 2022, Winter 2024
EMBA Program
Marketing with Big Data (BUSN 37888)
TA · Summer 2019 · Evaluation: 4.68/5.00
Marketing for Startups (BUSN 37889)
TA · Summer 2018 · Evaluation: 4.15/5.00
MBA Program
Digital and Algorithmic Marketing (BUSN 37304)
TA · Winter 2020, Winter 2021, Autumn 2021
Algorithmic Marketing Lab (BUSN 37704)
TA · Spring 2020, Spring 2021, Spring 2022
Data Science for Marketing Decision Making (BUSN 37105)
TA · Winter 2017, Autumn 2020
Selling and Sales Management (BUSN 37208)
TA · Autumn 2021
Startup Marketing (BUSN 37108)
TA · Winter 2019
Big Data (BUSN 41201)
TA · Spring 2023
Business Statistics (BUSN 41000)
TA · Winter 2024
University of Chicago
Perspectives on Computational Analysis (MACS 30000)
Course Assistant · Autumn 2016 · MACSS Program
Core Tutor for Economics
Autumn 2015 - Spring 2016 · College Core Tutor Program
Point72 Asset Management
Data Analytics in R, Point72 Academy
TA · August - September 2015