COVID19 – Mathematical Modeling and Machine Learning

B305 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Korea, Republic of

Abstract This presentation include the following two topics. First of all, we consider a spread model of COVID-19 with time-dependent parameters via deep learning. We developed a SIR model with

A spatio-temporal model to reveal oscillator phenotypes in molecular clocks: Parameter estimation elucidates circadian gene transcription dynamics in single-cells

B305 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Korea, Republic of

We will discuss about “A spatio-temporal model to reveal oscillator phenotypes in molecular clocks: Parameter estimation elucidates circadian gene transcription dynamics in single-cells”, Unosson et al., bioRxiv, 2021 We propose

Balanced truncation for model reduction of biological oscillators

B378 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Korea, Republic of

We will discuss about “Balanced truncation for model reduction of biological oscillators”, Padoan et al., Biological Cybernetics, 2021 Model reduction is a central problem in mathematical biology. Reduced order models

Scaling in development

ZOOM ID: 709 120 4849 (ibsbimag) (pw: 1234)

This talk will be presented online. Zoom link: 709 120 4849 (pw: 1234) Abstract:  Within a given species, fluctuations in egg or embryo size is unavoidable. Despite this, the gene

Biofluiddynamics of reproduction

ZOOM ID: 709 120 4849 (ibsbimag) (pw: 1234)

This talk will be presented online. Zoom link: 709 120 4849 (pw: 1234) Abstract: From fertilization to birth, successful mammalian reproduction relies on interactions of elastic structures with a fluid

IBS 의생명수학그룹 Biomedical Mathematics Group
기초과학연구원 수리및계산과학연구단 의생명수학그룹
대전 유성구 엑스포로 55 (우) 34126
IBS Biomedical Mathematics Group (BIMAG)
Institute for Basic Science (IBS)
55 Expo-ro Yuseong-gu Daejeon 34126 South Korea
Copyright © IBS 2021. All rights reserved.