My research scrutinizes the intersection between machine learning and quantitative marketing for firm decision-making. Additional information about my work can be found here.

Education

Chicago Booth

•    PhD, Fall 2018 - Present
       Awards: Wesley C. Pickard PhD Fellowship (2020)

University of Chicago

•    BA 2016, Physics
     BA 2016, Economics
       Awards: General Honors, Dean's List

Professional Employment

Research Professional, Booth School of Business, Chicago, IL
     July 2016 - July 2018

Research Assistant, Booth School of Business, Chicago, IL
     January - July 2016

Summer Intern, Aperio Division, Point72 Asset Management, New York, NY
     June - September 2015

Summer Research Intern, The Midway Group L.P., New York, NY
     June - August 2014

Research Assistant, University of Chicago, Chicago, IL
     April - October 2014

Summer Intern, Business Solutions, Credit Suisse, New York, NY
     June - August 2013

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

 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

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

Academic Activities

Conferences and invited research presentations (including planned)

2023

Kellogg-Booth Student Symposium

2022

Advances with Field Experiments; Marketing Science; Machine Learning in Economics Summer Institute (Alumni Event); Quantitative Marketing and Economics; Association for Consumer Research

2021

Trans-Atlantic Doctoral Consortium; Marketing Science

Journal refereeing

•    Management Science

Conference organization

•    Marketing Science 2022 Student Organizer

Skills

OS/Environments

Microsoft Windows and Linux

Programming

Proficient in Python, R, and Java
Exposed to Bash, SQL, and C#

Software

Microsoft Excel, Mathematica, and Stata

Languages

English: Native
Mandarin: Fluent
German: Intermediate

Other Projects and Activities

UChicago Men's Volleyball Club

•    Volunteer Assistant Coach
       September 2016 - June 2018

[___] Skin (Donkeyskin): A Digital Humanities Project
     March 2016