Yonghan Jung

Ph.D. student, Department of Computer Science, Purdue University

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Curriculum Vitae (10/19/2022)

Summary

I am an aficionado of Causal Data Science!

I am a Ph.D. student in the Department of Computer Science at Purdue University. I am fortunate to be a member of the CausalAI lab led by my advisor Elias Bareinboim at Columbia University. My research focuses on estimating the causal effect using modern machine-learning methods. I am particularly interested in semiparametric causal effect estimation, double/debiased machine learning, causal decision-making and their application to explainable AI and healthcare science.

I am fortunate to collaborate with many awesome scholars, including Elias Bareinboim, Jin Tian, Shiva Kasiviswanathan, Dominik Janzing, Kyungwoo Song, Sanghyuk Chun, and many others. 

+ I am an avid runner🏃 and swimmer🏊‍♂️! Find me in Strava!

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2022

2021

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2017:

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Education

Purdue University  

[Sep. 2018 - Present] Ph.D. student in Department of Computer Science

Purdue University  

[Sep. 2016 - Sep.2018] Ph.D. Student in School of Industrial Engineering (Transferred) 

KAIST 

[2016] M.S. in Department of Industrial and Systems Engineering (in Industrial Statistics Lab). 

KAIST 

[2014] (Double majors) B.S. in Mathematical Sciences and B.A. in Business and Technology Management

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