Jaewon Yoo

Jaewon Yoo (유재원; "Jay-One"; 兪在元, Yú Zài-Yuán)

Assistant Professor, Institute of Service Science
College of Technology Management, National Tsing Hua University (NTHU)
Causal Inference Platform Design Policy Evaluation Explainable AI
TSMC Building, Office 828B

Current Members (3)

Tuan Anh (Mint) Tran

Tuan Anh (Mint) Tran

Ph.D., Institute of Service Science, NTHU 2026-
Ting-Wen (Keri) Liu

Ting-Wen (Keri) Liu

M.S., Institute of Service Science, NTHU 2026-

Keri is a graduate student in Service Science with nearly four years of experience as a marketing specialist. Drawing from her background, she is interested in applying causal inference to understand how marketing strategies and institutional changes influence firm behavior.

Hsin-Yu (Joanna) Hsiao

Hsin-Yu (Joanna) Hsiao

M.S., Institute of Service Science, NTHU 2026-

Joanna Hsiao is a master's student with three years of industry experience in digital performance and market consumer trend analysis at market research and consulting company. Her research examines how predictive signals shape user behavior in online markets, with a focus on causal identification using observational data and experimental methods.

Alumni (11)

2025-26
Young Shin

Young Shin

Undergraduate RA, College of Electrical Engineering and Computer Science, NTHU
2023-25
Zhan-Yi Liao

Zhan-Yi Liao

M.S., Institute of Information Management, NYCU
Counterfactual Explanation

Co-advised with Po-An Chen (NYCU)

Pei-Jou (Pearl) Lin

Pei-Jou (Pearl) Lin

M.S., Institute of Service Science, NTHU
Policy Evaluation
Natasha Carissa Tedjasukmana

Natasha Carissa Tedjasukmana

M.S., iMBA, NTHU
Platform Economics
2022-24
SL

Sin-Yu (Celine) Lin

M.S., Institute of Service Science, NTHU
Consumer Behavior
YH

Yu-Chen (Amy) Hsiao

M.S., Institute of Service Science, NTHU
Policy Evaluation
2021-23
Daniel Vinicio Gonzalez de Leon

Daniel Vinicio Gonzalez de Leon

M.S., iMBA, NTHU
Consumer Behavior
Yichun (Jean) Liu

Yichun (Jean) Liu

M.S., Institute of Service Science, NTHU
Corporate Strategy

Interested in Joining CADI Lab?

We welcome motivated students who are passionate about causal inference, digital platform research, and counterfactual reasoning.

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