International Summer School 2026 Scientific approach toward nonstationary time series analysis for biomedical artificial intelligence

Title: International Summer School 2026: Scientific approach toward nonstationary time series analysis for biomedical artificial intelligence Material: When and Where: Join us in Taipei, Taiwan, from July 1 to July 21, 2026 (3 weeks), for an immersive summer school sponsored by Academia Sinica. Main Focus: In this three-week program, we emphasize the central role of mathematical modeling and interpretability of algorithms used in medical AI. Participants will learn how to build models that encode physiological mechanisms, phenomenological behaviors, and system dynamics, and how these models guide algorithm design and statistical inference. We highlight how proper modeling contributes to interpretability, uncertainty quantification, and reliable clinical insights, and implement such highlight on hands-on practice through real biomedical case studies. Participants will also be introduced to the cycle of research, from idea to analysis to presentation. Core topics include: 1. How to perform research. 2. Mathematical modeling of physiological and biomedical systems, from mechanistic formulations to data-driven structures, together with statistical quantification and uncertainty analysis. 3. Modern time-frequency analysis for nonstationary signals. 4. Unsupervised manifold learning for understanding intrinsic geometric structure in high-dimensional data. 5. Hands-on practice on real world biomedical signals. The school is designed for PhD, master’s, and advanced undergraduate students interested in data science, medical AI, and interdisciplinary research at the interface of mathematics, statistics, engineering, and medicine. What to Expect: Engage with leading researchers in signal processing, nonstationary time series analysis, manifold learning, and more. This program is tailored for PhD students and researchers across various disciplines, offering an unparalleled opportunity to learn cutting-edge methodologies, connect with experts, and network with peers in a collaborative environment. For those interested in advancing their skills in quantitative data science and biomedical research, this program is an exceptional opportunity. Financial Support: Eligible participants will receive a stipend. Additionally, (partial) airfare support might be available for international students. Prerequisites: Advanced senior & PhD level students. 1. For students from math, stat, EE, CS: linear algebra, multivariable calculus and probability. 2. For students from biomedicine: linear algebra and basic calculus 3. All: Matlab or Python. Application material: 1. CV 2. Transcript 3. Half page self-description about what you expect from this summer school. For international students please indicate if you need financial support. 4. Status of citizenship (for visa purposes) 5. Academic History: Department details since University Key dates: Application deadline: Mar 25, 2026 Notification of acceptance:Apr. 15, 2026 *NOTE: Letters of recommendation are not required for this activity. Since the AMS system is primarily designed for job recruitment, you may see prompts to set up a cover sheet and a list of references during registration; however, you can simply skip these steps. You should be able to submit your application even if those sections are incomplete, as the system allows you to modify your information at any time. We encourage you to submit your application whenever you are ready and upload the remaining required documents before the deadline. Thank you!