"Of the many potential applications of physical principles to biology, perhaps none is more intimidating in its complexity, nor more urgently needed, than a treatment of the human immune system. Chakraborty has written a concise introduction to the topic, providing a masterclass in how modern statistical mechanics can sail between the Charybdis of excessive realism and the Scylla of modeling superficiality to provide testable predictions and novel insights. A worthy component of any contemporary course in biophysics that will benefit students and advanced researchers alike."-- Nigel Goldenfeld FRS, University of California San Diego "This book is a tour de force, introducing immunology to physical scientists with remarkable clarity and accessibility while presenting the latest advances in computational approaches to immunity. It is a gold mine of facts and insights and an essential read for any student or researcher looking to enter the field."-- Thierry Mora, CNRS and École Normale Supérieure " Physical Concepts in Immunology does a wonderful job of introducing concepts without overwhelming the reader with jargon, while at the same time introducing necessary vocabulary in a graded way. This eases the reader into the complexity of the biology, making it tractable."-- Aleksandra Walczak, CNRS and École Normale Supérieure " Physical Concepts in Immunology combines the pioneering research perspective of the author with a strong pedagogical instinct that makes it a joy to read.

Whether you are an enterprising engineering senior or a seasoned physics researcher, this book offers invaluable insights. While guiding you through the notorious complexities of immunology, Chakraborty carefully highlights the opportunities for mathematical modeling, often through the lens of statistical physics."-- Vincenzo Vitelli, University of Chicago "The significance of this book lies in the clarity with which it describes fundamental immunological and physical concepts. The narrative skilfully weaves together seminal experimental findings and the theoretical investigations that they have inspired."-- Andreas Tiffeau-Mayer, University College London "A valuable contribution useful not just for the intended mathematicians, data scientists, and engineers but also for those with a general interest in the topic with a good level of knowledge of general science."-- Liz Morris, Durham University.