Elliot Shin Oblander
I am a doctoral student in the Marketing division of the Columbia Business School.
I am an empirical methodologist focusing on statistical and econometric methods. I develop methods to address novel business problems stemming from changes in the marketing analytics environment such as the rise of third-party data sources, privacy regulations, and unstructured data.
My methodological areas of interest include causality, selection correction/external validity, and representation learning for unstructured data. My substantive areas of interest include customer relationship management, consumer choice, and digital marketing.
My research has been published in Marketing Science.
See my most current CV here.
PhD Marketing (Quantitative track), Graduate School of Business, Columbia University (August 2018 - Present)
MPhil Marketing conferred February 2021
Fellowships: Provost Diversity Fellow, Lead Teaching Fellow, Deming Center Doctoral Fellow, Amanda and Harold J Rudolph Doctoral Fellow
Adjunct instructor for MS/PhD course "Statistical Modeling and Decision Making"
BS Economics, The Wharton School of the University of Pennsylvania (August 2013 – May 2018)
Honors: Summa Cum Laude, Dean's Award for Excellence, Dean's List 2013-2018
Concentrations: Statistics and Actuarial Science
Minors: Mathematics and Japanese Studies
Exchange Student, Faculty of Economics at Hitotsubashi University (March 2017 – August 2017)
Published and Forthcoming Papers
McCarthy, Daniel; Oblander, Elliot Shin (2021). "Scalable Data Fusion with Selection Correction: An Application to Customer Base Analysis." Marketing Science, 40(2).
Oblander, Elliot Shin; Gupta, Sunil; Mela, Carl F.; Winer, Russell S.; Lehmann, Donald R. (2020). "The Past, Present, and Future of Customer Management." Marketing Letters, 31(2), 125-136.
Oblander, Elliot; Park, Sojung Carol; Lemaire, Jean (2016). "The Cost of High Suicide Rates in Japan and the Republic of Korea: Reduced Life Expectancies." Asia-Pacific Population Journal, 31(2), 21-44.
Summer 2020: Statistical Modeling and Decision Making
Columbia Business School MS/PhD course
Course rating 4.6/5.0, instructor rating 4.7/5.0
Past Teaching Assistantships
Spring 2016, Summer 2016, Spring 2017, Summer 2017, Fall 2017, and Spring 2018: Applied Probability Models in Marketing, Professor Peter Fader
Spring 2016, Spring 2017, and Spring 2018: Wharton Undergraduate/MBA cross-listed course
Summer 2016, Summer 2017, and Fall 2017: Wharton Executive MBA course
Fall 2015: Risk Management, Professor Gregory Nini
Wharton Undergraduate/MBA cross-listed course
Fellowships and Scholarships:
Deming Center Doctoral Fellow, 2020-2021.
Columbia Business School Amanda and Harold J Rudolph Fellow, 2020-2021.
Columbia University Center for Teaching and Learning (CTL) Lead Teaching Fellow (LTF), 2020-2021.
Columbia University Provost Diversity Fellow, 2018.
Casualty Actuaries of the Mid-Atlantic Region Scholarship Recipient, 2016.
Two-time Wharton Summer Program for Undergraduate Research (SPUR) Scholar, 2015 & 2016.
Decision, Risk, and Operations
Reliable Statistical Learning: Professor Hongseok Namkoong, Fall 2020
Econometrics I: Professors Gregory Cox & Jose Luis Montiel Olea, Fall 2018
Econometrics II: Professors Jushan Bai & Simon Lee, Spring 2019
Industrial Organization III: Professor Andrey Simonov, Spring 2019
Micro-Econometrics: Professor Simon Lee, Fall 2019
Computational Models of Perception and Choice: Professor Michael Woodford, Spring 2020
Analytical Models: Professor Kinshuk Jerath, Fall 2018
Consumer Behavior I (Information Processing): Professors Michel Pham & Bernd Schmitt, Fall 2018
Empirical Models: Professor Asim Ansari, Fall 2018
Mathematical Models: Professor Rajeev Kohli, Fall 2019
Bridging Behavioral Economics and Marketing Science: Professor Ran Kivetz, Fall 2019
Consumer Behavior II (Judgment and Decision Making): Professor Eric Johnson, Spring 2020
Marketing Decisions and Methods: Professor Donald Lehmann, Summer 2020
Statistics and Computer Science
Foundations of Graphical Models: Professor David Blei, Fall 2018
Applied Causality: Professor David Blei, Spring 2019
Representation Learning (A Probabilistic Perspective): Professor David Blei, Spring 2020
University of Pennsylvania
Machine Learning: Professor Shivani Agarwal, Spring 2018
Empirical Models in Marketing: Professor Eric Bradlow, Spring 2017
Statistics and Biostatistics
Bayesian Methods and Computation: Professor Shane Jensen, Spring 2016
Big Data for Biomedical Research: Professor Hongzhe Li, Fall 2016
Statistical Methodology: Professor Andreas Buja, Fall 2017
Stochastic Processes I: Professor Maria Rieders, Fall 2015
Stochastic Processes II: Professor Maria Rieders, Spring 2016
Dynamic Programming: Professor Maria Rieders, Spring 2016
Advanced Industrial Economics: Professor Kohei Kawaguchi, Summer 2017
Advanced Microeconomics: Professor Norio Takeoka, Spring & Summer 2017
Anonymous student comments from end-of-term course evaluations
Fall 2020 (Instructor for Statistical Modeling and Decision Making)
"Elliot is a really nice person who is very engaging and insightful!"
"Extremely helpful instructor... Very powerful lecturing."
"Elliot was very clear in his teaching and obviously put in a ton of work prepping for class each day. He’s brilliant and very approachable when you need help."
Summer 2016 (TA for Applied Probability Models in Marketing)
"Elliot, the T/A, was awesome! He seems to know the material almost as well as the professor! He is very supportive, easy going, and extremely helpful. He is far and away the best T/A I've experienced in the program. He really went the extra mile for our class. You should give him some award or something. I'm confident he will do amazing things in his future!"
"Elliot was a fantastic TA. Very accessible and understood the concepts very well. He could be an instructor. Hold on to him!"
"Shout out to Elliot Oblander, our TA. He was really excellent in supporting Professor Fader and doing the 'mop up' with us after our brains were completely blown out. He was very, very accessible outside of class... and you can tell he really gets this stuff and likes helping students. He will be a great professor someday, if that's what he wants to do."
Talks and Media:
Knowledge@Wharton article on my paper on suicide rates in Japan and South Korea.
Talk at Penn Libraries "Engaging Students Through Technology" Faculty Symposium in October 2015 (video).
And a November 2016 Daily Pennsylvanian article on the same topic.
Other fun facts:
I passed the Society of Actuaries preliminary exam series in 2015.
I was born and raised in Portland, Oregon.
I grew up speaking English and Japanese (thanks to my Japanese/English translator parents), and also studied Mandarin Chinese for 6 years in high school and college.
I was formerly a Japanese and Chinese studies major in the College of Arts and Sciences, specializing in gender and sexuality studies.
If you want to see my work from my days as a humanities major, check out my Japanese studies thesis from 2015.