Science in the Age of Experience 2024 – Kumar Selvarajoo, Agency for Science, Technology & Medicine [Video]

Systems Biology and Digital Twin approaches for Health and Food Applications

In this talk at “Science in the Age of Experience 2024 – Generative Siences for Society”, Kumar Selvarajoo introducedsystems biology and machine learning concepts and highlight how these can be combined to advance modern biomedical and food applications research through digital twin models:

The idea of developing virtual cells or digital twin models to understand and predict living systems behaviors dates back several decades ago. This is mainly due to (i) a purely curiosity-driven need to build theories of life and, (ii) the potential for quickly and safely finding cures for complex diseases by possibly testing drugs in silico prior to actual testing on real organisms.

Systems biology, which combines the strengths of multiple disciplines (physics, chemistry, computer science, mathematics, engineering), and machine learning have been employed to interpret the recent deluge of large-scale biological data generation across multiple omics. 

Kumar Selvarajoo is a Senior Principal Investigator for Computational Biology & Omics at the Bioinformatics Institute, ASTAR, and an Adjunct Associate Professor at the School of Medicine, National University of Singapore, and the School of Biological Sciences, Nanyang Technological University.

Over the past 20 years, he has lead teams in Computational Biology, Systems Biology, Bioinformatics, Statistical Genetics, Data Analytics and Machine learning. 

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