On Nov 17th, 2023, Samuel Isaacson from Boston University gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of his talk was “Spatial Particle Modeling of Immune Processes.”
Matthew Simpson gave an online talk titled “Efficient prediction, estimation and identifiability analysis with mechanistic mathematical models” at the IBS Biomedical Mathematics Colloquium.
On Nov 10th, 2023, Matthew Simpson from the Queensland University of Technology gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of his talk was “Efficient prediction, estimation and identifiability analysis with mechanistic mathematical models.”

Seokjoo Chae gave a talk on “Uncertainty quantified discovery of chemical reaction systems via Bayesian scientific machine learning” at the BIMAG journal club
On November 10th, 2023, Seokjoo Chae gave a talk on “Uncertainty quantified discovery of chemical reaction systems via Bayesian scientific machine learning”
Eder Zavala gave an online talk titled “Quantitative analysis of high-resolution daily profiles of HPA axis hormones” at the IBS Biomedical Mathematics Colloquium.
On Nov 1st, 2023, Eder Zavala from the University of Birmingham gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of his talk was “Quantitative analysis of high-resolution daily profiles of HPA axis hormones.”
Hyun Kim gave a talk on “Significance analysis for clustering with single-cell RNA-sequencing data” at the BIMAG journal club
On October 27th, 2023, Hyun Kim gave a talk on “Significance analysis for clustering with single-cell RNA-sequencing data”
Tetsuya J. Kobayashi gave an online talk titled “Optimality of Biological Information Processing” at the IBS Biomedical Mathematics Colloquium.
On Oct 20, 2023, Tetsuya J. Kobayashi from the University of Tokyo gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of his talk was “Optimality of Biological Information Processing.”
Hyeontae Jo gave a talk on “AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records” at the BIMAG journal club
On October 20th, 2023, Hyeontae Jo gave a talk on “AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records”
JTBC News introduced our new mobile application for improved sleep patterns and an innovative AI algorithm for detecting sleep disorders
We are thrilled to announce the upcoming launch of our cutting-edge mobile application, SleepWake, tailored to optimize sleep patterns, along with our groundbreaking AI algorithm designed to detect sleep disorders. This noteworthy achievement has attracted the attention of JTBC News, a prestigious news outlet in Korea, which has showcased our AI algorithm and the SleepWake application.
Olive Cawiding gave a talk on “Power spectral estimate for discrete data” at the BIMAG journal club
On October 6th, 2023, Olive Cawiding gave a talk on “Power spectral estimate for discrete data”
Yun Min Song gave a talk on “A data-driven approach for timescale decomposition of biochemical reaction networks” at the BIMAG journal club
On September 22, 2023, Yun Min Song gave a talk on “A data-driven approach for timescale decomposition of biochemical reaction networks”