Computational Systems Biology Lab

The 90s was an interesting time for biology research as researchers shifted from reductionist to a systems approach for studying and understanding biological systems. A decade later, high-throughput technologies revolutionized the field of systems biology by generating heaps of data. Thanks to these technologies, the state of thousands of genes, proteins, chemicals or metabolites at a given time-point, or in response to any stimuli, can be captured now. However, generating insights from this humongous amount of data was like looking for a needle in a haystack. It was at this time that the need for computation in conducting biology research became apparent and the field of computational biology reached its full glory.

Since my undergraduate days studying control theory as a chemical engineer, I’ve been captivated by mathematical models of complex phenomena. These models have a remarkable way of revealing key insights into biological systems, which are often incredibly challenging to understand due to their complexity. With over 15 years of experience as a systems biology researcher, I’ve had the pleasure of reading numerous books that delve into the fascinating intersection of computation and biology, aiming to map the rapidly growing literature in this dynamic field. I hope you find these books engaging and join the authors in exploring the molecular networks that underpin every living cell!