We now have BIMAG mugs in our tea room 🙂
Please feel free to use them to have some coffee (with a newly purchased coffee beans)!
We now have BIMAG mugs in our tea room 🙂
Please feel free to use them to have some coffee (with a newly purchased coffee beans)!
On May 26, 2021, Ramon Grima from the University of Edinburgh gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of his talk was “Neural network aided approximation and parameter inference of stochastic models of gene expression.”
Jae Kyoung Kim recorded the first episode in season 4 of a podcast ‘Gwa Jang Chang (과학으로 장난치는 게 창피해? 과장창!)’ and now it is available.
김재경 교수가 출연한 과학커뮤니케이션 팟캐스트 ‘과학으로 장난치는 게 창피해? 과장창!’ 시즌4 1화가 공개되었습니다.
On May 13, Hyukpyo Hong gave a talk on Derivation of stationary distributions of stochastic chemical reaction networks via network translation at Seminar on the Mathematics of Reaction Networks. The related paper link is here.
On May 14, 2021, Seokjoo Chae gave a talk on Extending Transfer Entropy Improves Identification of Effective Connectivity in a Spiking Cortical Network Model.
On May 7, 2021, Jung Hyun Lee gave a talk introducing Bayesian ML/DL, with application to parameter inference of coupled non-linear ODEs.
On April 22, 2021, Dae Wook Kim from the IBS Biomedical Mathematics Group gave a talk explaining the paper “A simple and flexible computational framework for inferring sources of heterogeneity from single-cell dynamics.”
On April 16, 2021, Eui Min Jeong from the IBS Biomedical Mathematics Group gave a talk at the IBS Biomedical Mathematics Journal Club. The title was “Synthetic multistability in mammalian cells.”
On April 15, 2021, Sunhwa Choi from the National Institute for Mathematical Sciences gave a talk at the IBS Biomedical Mathematics Seminar. The title was “Practical considerations for measuring the effective reproductive number.”
On April 15, 2021, Hyojung Lee from the National Institute for Mathematical Sciences gave a talk at the IBS Biomedical Mathematics Seminar. The title was “Mathematical modeling for infectious disease using epidemiological data.”