E. Shin Oblander

About Me:

Curriculum Vitae:

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Research (click for more details)

I come from a customer relationship management (CRM) background, and much of my early work has been inspired by this perspective, developing methodologies for data fusion, selection correction, and causal inference in modeling customer purchase decisions. More generally, I am interested in developing methodologies that allow for the analysis of complex and/or non-standard data structures, such as representation learning methods for unstructured data.

Recently, I am also interested in competitive video games (e-sports) as an empirical context to study strategic human behavior. Currently, I am studying competitive decisions in an e-sports context, developing representation learning tools to enable behavioral analysis of how agents learn and make strategic decisions based on past experience in games with large/complex action spaces.

Working Papers

Published and Forthcoming Papers

Education (click for more details)

I am currently a doctoral candidate in quantitative marketing at Columbia Business School. Prior to graduate school, I completed my undergraduate degree at the Wharton School of the University of Pennsylvania, where I studied statistics and actuarial science.

Teaching  (click for more details)

Beyond research, I am passionate about teaching and pedagogy, striving to make technical quantitative content accessible to students. To my knowledge, I am the first PhD student at Columbia Business School to develop and teach their own credit-bearing course.

Pedagogical Training

I have taken extensive training on evidence-based pedagogy and inclusive teaching practices through Columbia's Center for Teaching and Learning. I was the first Lead Teaching Fellow from the business school in 2020-2021 and became the first business school student to complete the Advanced track of the Teaching Development Program certification in 2023.

Instruction (Columbia Business School)

In 2020, I developed and taught a new course on probability theory and statistical estimation, called Statistical Modeling and Decision Making, as part of the core curriculum for the MS in Marketing Science program; I continued to teach this course in 2021 and 2022. In 2023, my course was recommended for approval by the CBS Curriculum and Instruction Committee to become a regularly offered course.

Teaching Assistantships (Columbia Business School)

Teaching Assistantships (The Wharton School)

Fellowships, Scholarships, and Awards  (click for more details)

Other fun facts  (click for more details)