連云暄 Sophia Yun-Hsuan Lien, Ph.D.

My research centers on sequential decision-making under uncertainty and its real-world applications. I aim to develop AI models that can learn from limited data and make robust decisions, with a particular interest in applications in finance.

I bring a strong interdisciplinary background that bridges artificial intelligence and finance. Prior to my academic career, I worked in the trading room at the Central Bank of Taiwan, specializing in market operations and risk analysis, and gained deep expertise in foreign exchange, money markets, and fixed income instruments.  I also hold professional certifications, including the Financial Risk Manager (FRM), Levels 1 & 2; Chartered Financial Analyst (CFA), Level 1

Invited Talks & Seminars

2026

• Robust RL and Beyond, Institute of Communications Engineering Seminar, National Tsing Hua University, Taiwan,  May 2026

• Robust RL and Beyond, TIGP-AIoT seminar, Academia Sinica, Taiwan,  May 2026

2025

• Robust RL and Beyond, TIGP-SNHCC seminar, Academia Sinica, Taiwan,  Dec 2025

• Efficient RL, TAAI 2025 Survey Talk, Taiwan, Dec 2025

• Efficient RL, NTU Data Science Program seminar, National Taiwan University, Taiwan Nov 2025

• Adaptive and Reliable Reinforcement Learning,  7th Czech-Taiwan Technology Days, The Czech Republic, Oct. 2025

• Bridging the Reality Gap in Reinforcement Learning,  Institute of Statistical Science,  Academia Sinica, Taiwan,  Feb. 2025

2024

• Bridging the Reality Gap in Reinforcement Learning,  Waterloo.AI Seminar, University of Waterloo, Canada,  Nov. 2024

• Robust RL Algorithms,  Institute of Statistics and Data Science Seminar, National Tsing Hua University, Taiwan,  Nov. 2024

• Robust RL Algorithms,  Pixel Cafe Talk, UC San Diego, America,  Apr. 2024