Yonghan Jung

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

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Curriculum Vitae (Sep. 25, 2024)

⭐️ I am actively on the 2024-2025 job market, seeking tenure-track faculty positions in academia and research scientist roles in industry. If you're interested, please feel free to reach out!

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 Professor 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, debiased machine learning, and their application in explainable AI and healthcare.

I have collaborated with many awesome scholars, including Elias Bareinboim, Jin Tian, Iván Díaz, Shiva Kasiviswanathan, Patrick Blöbaum, Dominik Janzing, Kyungwoo Song, Sanghyuk Chun, Sanghack Lee, Alexis Bellot, and many others. 

+ I am an avid runner🏃 (My Strava) I won the 5km running competition in my age group in Run for Justice 2024 🎉

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Publications 

An asterisk * means the equal contributions.

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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