MS04 - MFBM-1 Cartoon Room 1 (#3145) in The Ohio Union
Stochastic methods for biochemical reaction networks
Tuesday, July 18 at 04:00pm

Organizers:
Wasiur KhudaBukhsh, Hye-Won Kang
Description:
Stochastic modeling is becoming increasingly popular in biological sciences. The ability to account for intrinsic fluctuations and uncertainty in experimental outcomes has been an advantage of stochastic methods. The application of stochastic tools has proven to be tremendously useful in analyzing biological systems. The objective of this 2-part mini-symposium is to highlight recent advances in biochemical reaction networks -- both at the ecological and the molecular scales. The sessions will cover a wide range of themes (including applications and techniques) giving a general overview of the field. Specific topics include new asymptotic results/approximations, multiscale methods and statistical inference algorithms for those biological systems and applications to phylogenetics and epidemiology. Special focus will be on methods that can be translated into usable tools from a practical perspective.
Wasiur R. KhudaBukhsh
University of Nottingham (School of Mathematical Sciences)"Multiscale approximations for a simple transfection process"
Ruth Baker
University of Oxford (Mathematical Institute)"Efficient approaches for simulating and calibrating stochastic models of biological processes"
Jae Kyoung Kim
KAIST (Mathematical Sciences)"Inference of non-Markovian systems from cell signaling to infectious diseases"
Boseung Choi & Eunjin Eom
Korea University (Division of Big Data Science; Department of Economics Statistics)"A Bayesian model for the relationship SARS-CoV-2 wastewater and community-wide seroprevalence with mutation and vaccination effect"
