Talk and lab tour, EWHA-CUHK Global Student Partnership Program, Seoul, Korea
Organized and delivered a seminar on Physical AI and lab research activities for participants in the EWHA-CUHK Global Student Partnership Program. Coordinated a guided lab tour including Physical AI demonstrations.
Invited oral presentation, Seoul National University, Seoul, Korea
Delivered an invited talk titled “How Classifier Features Transfer to Downstream: An Asymptotic Analysis in a Two-Layer Model.” Presented theoretical insights on feature transfer in neural networks and conditions for generalization to unseen classes.
Poster, 6th Brown Bag Seminar, Seoul National University, Seoul, Korea
Presented the poster “How Classifier Features Transfer to Downstream: An Asymptotic Analysis in a Two-Layer Model” at the 6th Brown Bag Seminar, attended by over 150 researchers across interdisciplinary clusters.
Seminar, Biointelligence Lab, Seoul, Korea
Organized and led a weekly paper reading seminar from October to November 2025. Presented multiple papers per session and facilitated discussions on optimization, generalization, and deep learning theory.
Seminar, Biointelligence Lab, Seoul, Korea
Speaker and organizer for a summer 2023 reviewing seminar on recent deep learning theory, including implicit bias of SGD, transfer learning theory, interpolation, and overfitting from the Deep Learning Theory Workshop at the Simons Institute.
Seminar, Machine learning theory paper review seminar, Korea
Speaker and organizer for a machine learning theory paper review seminar held from spring 2022 to autumn 2023, with participants from Kakao, Naver, KAIST, and Seoul National University.
Seminar, Biointelligence Lab, Seoul, Korea
Speaker and organizer for summer/winter 2022 seminars connecting cognitive dynamic systems with contemporary studies in stochastic differential equations, video and language, Gaussian-process views of neural networks, and neural tangent kernels.
Seminar, Biointelligence Lab, Seoul, Korea
Speaker and organizer for freshman seminars held each semester from 2022 to 2025. Covered mathematical foundations of random signals and functional theory, Bayesian views of time series, and applications of game theory to time series analysis.
Seminar, Biointelligence Lab, Seoul, Korea
Speaker and organizer for a seminar covering feature learning dynamics in deep learning, based on physics-inspired theory and the book Principles of Deep Learning Theory. Trained presenters on foundational concepts and conducted reviews before presentations.