Yoontae Hwang

I received my Ph.D. in Industrial Engineering from Ulsan National Institute of Science and Technology (UNIST, Korea) on August 16, 2024. My dissertation, titled "Financial Representation Learning," was completed under the supervision of Yongjae Lee. During my doctoral studies, I published 6 papers in peer-reviewed journals and AI conferences.

Recently, I was awarded the Sejong Science Fellowship by the National Research Foundation of Korea. Since September 2024, I have been working as a (Sejong Science Fellowship) Postdoctoral Researcher in Prof. Stefan Zohren's lab at the University of Oxford, where I've been focused on time-series analysis based on deep learning.

I am actively seeking academic positions starting from September 2025, with a focus on my research interests in Deep Learning, Time-series analysis, and Finance. In my future role, I hope to continue exploring the intersection of AI and financial markets, with a particular emphasis on developing more robust predictive models.

news

Aug 14, 2024

The initial segment of Yoontae Hwang's doctoral dissertation has been honored with the Best Paper Award by the Korean Academic Society of Business Administration. This award recognizes superior research contributions in the field of business administration and finance.

Sep 01, 2024

Yoontae Hwang has been awarded the prestigious 2024 Sejong Science Fellowship (USD $50,000) by the Ministry of Science and ICT (MSIT) in Korea. This fellowship is awarded to outstanding young investigators in Korea.

Jun 15, 2022

Yoontae Hwang has been awarded the esteemed National Research Foundation of Korea (NRF) Ph.D. Fellowship (USD $30,000). This fellowship is conferred upon exceptional doctoral candidates in Korea..

Mar 02, 2020

Yoontae Hwang has been granted the Ulsan National Institute of Science and Technology (UNIST) Fully Funded Scholarships.

Professional Services

PC
ICAIF 2024

Program Committee member for the ICAIF 2024 conference. Participated in reviewing submissions and providing feedback to authors.

Reviewer
Finance Research Letters, TMLR

Reviewed multiple articles for Finance Research Letters and Transactions on Machine Learning Research (TMLR), ensuring the quality and relevance of published research.