기초과학연구원 의생명수학그룹
On December 10, 2021, U Jin Choi from KAIST gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “The Graph Convolutional Networks (GCN) with Persistent Homology and its applications.” It was the third talk among the four serial talks.
On November 25, 2021, Ruth Baker from Oxford University gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of her talk was “Quantitative comparisons between models and data to provide new insights in cell and developmental biology.”
On November 26, 2021, Hyun Kim gave a talk on “A Random Matrix Theory Approach to Denoise Single-Cell Data”, Aparicio et al., Patterns, 2020
On November 19, 2021, Aurelio A. de los Reyes V gave a talk on “Solving Singular Control Problems in Mathematical Biology, Using PASA”, Atkins et al., arXiv, 2020
On November 18, 2021, Jeremy Gunawardena from Harvard University gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of his talk was “Following the energy in cellular information processing.”
On November 12, 2021, U Jin Choi from KAIST gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “The Graph convolutional Networks (GCN) with Persistent Homology and its applications.” It was the second talk among the four serial talks.
On November 12, 2021, Seokjoo Chae gave a talk on “Detecting and quantifying causal associations in large nonlinear time series datasets”, Runge et al., Science Advances, 2019
On November 11, 2021, Lisa Fauci from Tulane University gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of her talk was “Biofluiddynamics of reproduction.”
On October 29, 2021, U Jin Choi from KAIST gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “The Graph convolutional Networks (GCN) with Persistent Homology and its applications.”
On October 27, 2021, Annabelle Ballesta from INSERM gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of her talk was “Systems pharmacology towards personalized chronotherapy.”
