Evolution is a stochastic process and given the amount of data generated in biological sciences today, there is a pressing need for people with a quantitative background to understand and contribute towards understanding of evolution leading to better interaction between stakeholders. This book equips engineers and physical scientists to make biologically relevant quantitative representations of evolutionary processes. The concepts of evolution are introduced via semi-quantitative treatment with graphical illustrations and explain how evolution experiments are conducted in a laboratory.

Features:

• Discusses background, concepts of evolutionary biology, and experimental evolution.
• Helps readers develop a geometric view of evolutionary processes.
• Covers both biological and mathematical foundations in equal measure.
• Illustrates coding exercises supported by pertinent MATLAB codes for the provided problems.
• Includes homework problems and a solutions manual.

This book is aimed at senior undergraduate and graduate students in engineering and physical sciences.

Supreet Saini is Professor of Chemical Engineering and Fellow of DBT/Wellcome Trust (India Alliance) at the Indian Institute of Technology Bombay, Mumbai, India. He studied chemical engineering at undergraduate level at Indian Institute of Technology Delhi, India. He obtained his Ph.D. from the University of Illinois, Urbana-Champaign, US. His PhD thesis focused on using systems biology approaches to understand Salmonella pathogenesis. His research group works, using experiments with yeast and bacteria and theory, to answer open questions in evolutionary biology.