10月10日
研讨会, 演讲, 讲座
IAS / School of Science Joint Lecture - Use of Large Animal Models to Investigate Brain Diseases
Abstract Genetically modified animal models have been extensively used to investigate the pathogenesis of age-dependent neurodegenerative diseases, such as Alzheimer (AD), Parkinson (PD), Huntington (HD) diseases, and Amyotrophic Lateral Sclerosis (ALS). The common feature of these diseases…
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12月18日
研讨会, 演讲, 讲座
CHEM Seminar - Efficient Sampling and Optimization on Manifolds for Modeling and Modulation of Macromolecular Interactions
Speaker: Professor Dima KOZAKOV Institution: Department of Applied Mathematics and Statistics Laufer Center for Physical and Quantitative Biology, Stony Brook University Hosted by: Professor Xuhui HUANG  
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2019年12月18日 – 12月20日
会议, 座谈会, 论坛
The 1st Hong Kong - France Joint Symposium on Skeletal Muscle Stem Cells, Regeneration, and Disease
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12月13日
研讨会, 演讲, 讲座
Seminar on Applied Mathematics - A moving contact line model on elastic membrane
Young's law is a successful theory in the study of contact angle at the three-phase contact line on a rigid solid substrate. When the solid substrate is soft and deformable, the situation is more complicated. We propose a new mathematical model for the moving contact lines on an elastic membrane.
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12月11日
研讨会, 演讲, 讲座
Center for Statistical Science Seminar - Proportional inverse Gaussian distribution: A new tool for analyzing continuous proportional data
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12月10日
研讨会, 演讲, 讲座
PHYS Seminar - Moiré Laboratory of Rescaled Solids: Graphene and Transition Metal Dichalcogenide Systems
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12月9日
研讨会, 演讲, 讲座
EI-CBE Joint Seminar: Electrochemical Energy Engineering and Technology
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12月5日
研讨会, 演讲, 讲座
CHEM - PhD Student Seminar - Hypoxia Inducible Factor 1-alpha (HIF-1α) as a Target for Cancer Treatment
Student: Mr. Tin Lok LI Department: Department of Chemistry, HKUST Supervisor: Professor Zhihong GUO
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12月3日
研讨会, 演讲, 讲座
Joint Seminar - Department of Mathematics and Division of Life Science   - Modeling clonal populations in hematopoiesis and T cell dynamics
We develop modeling and analysis approaches for quantifying the in vivo evolution of clonal blood cell populations. A stochastic birth-death-immigration (BDI) model is used to describe experiments that measure hematopoietic stem cell tags and T cell immunotypes.
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