기초과학연구원 의생명수학그룹
On Jan 14th, 2026, Prof. Sang-Min Park from CNU gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “Leveraging Large-Scale Perturbome Data for Complex Disease Target Discovery.”
On Dec 30th, 2025, Dr. Seokjoo Chae from Rice U gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “Rationalizing Therapeutics: Mathematical Insights into Drug and Cell Therapy Development.”
On Dec 30th, 2025, Dr. Daeil Jang from NIMS gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “Expanding the Data Analysis Toolkit: Explainable AI, Causal Learning, and Time-Series Foundation Models.”
On Dec 29th, 2025, Prof. Wooseok Ha from KAIST gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “Distribution shift in machine learning: robustness, invariance, and a causal view.”
On Nov 12th, 2025, Prof. Kyungwoo Song from Yonsei University gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “Generative Models and Causality.”
On Nov 12th, 2025, Prof. Sang Woo Park from SNU gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “Mathematical modeling of infectious disease dynamics.”
On Nov 10th , 2025, Dr. Hyunjun Jung from Samsung Electronics gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “Bioinstrumentation System for Digital Health Platform: Sleep Health Monitoring Technologies Using Watch-Type Wearable.”
On Nov 10th , 2025, Dr. DongHyun Lee from Samsung Electronics gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “Digital Health Care in Samsung.”
On Oct 29th, 2025, Luonan Chen from Shanghai Institutes for Biological Sciences gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of his talk was “Dynamical data science and AI for Biology and Medicine.”
On Oct 15th, 2025, Aiden Doherty from University of Oxford gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of his talk was “Developing time-series machine learning methods to unlock new insights from large-scale biomedical resources.”