Yonghan Jung

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

Additional Information

Email

𝕏 | BlueSky

Google Scholar

Curriculum Vitae (03/12/2024)

Summary

I am an aficionado of Causal Data Science!

I am a Ph.D. candidate 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 developing estimation frameworks for causal effects using modern machine learning methods. I am interested in various areas of causal inference, with a particular emphasis on semiparametric causal effect estimation, double/debiased machine learning, and their application in explainable AI and healthcare science.

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

+ I am an avid runner🏃!

News

Publications 

2023

2022

2021

2020:

2018:

2017:

Talks/Seminars

Education

Purdue University  

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

[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

Academic Services 

Teaching