Dr. Samuel Yen-Chi Chen is a researcher specializing in Quantum Machine Learning and Quantum AI, with prior appointments at Brookhaven National Laboratory and ongoing collaborations with universities and national laboratories worldwide. He received his Ph.D. and B.S. in Physics and an M.D. in Medicine from National Taiwan University. He pioneered several influential quantum AI frameworks-including Quantum LSTM (QLSTM), Quantum Reinforcement Learning (QRL), Differentiable Quantum Architecture Search (DiffQAS), and the Quantum Fast Weight Programmer (QFWP), which have shaped emerging directions in quantum temporal models, meta-learning, and quantum architecture search. His current research focuses on scalable quantum-enhanced agents, distributed quantum learning, and self-programming quantum AI systems