Soroush Saghafian is a professor at Harvard University. He is the founder and director of the Public Impact Analytics Science Lab (PIAS-Lab) at Harvard, which is devoted to advancing and applying the science of analytics for solving societal problems that can have public impact. His teaching at Harvard focuses on machine learning and big data analytics tools for solving societal problems. His research has appeared numerous times in the media, and he has received various notable awards for his work.
'Understanding our exponentially accelerating future requires clear frameworks for thinking, and Soroush Saghafian distills a century of our best analytical tools into this outstanding book.' Ray Kurzweil, Google chief futurist, recipient of the National Medal of Technology and Innovation, and author of The Singularity is Nearer 'Solving society's most pressing challenges will require new ideas and insights. Determining which ideas will work best requires data, models, and expertise with a variety of analytic tools. Saghafian offers a deep, yet understandable, practitioners' guide to machine learning, resource allocation, mechanism design, linear programming, and data analytics.' Scott E. Page, John Seely Brown Distinguished University Professor, University of Michigan, author of The Model Thinker 'Sweeping in scope, optimistic, and accessible, Saghafian's book on analytics science will become a reference for students and practitioners who seek a principled approach to solving difficult problems. Offering historical context and real-world examples, and with a solid grounding in scholarship while avoiding difficult notation, this book scaffolds an integrated approach toward building a better world.' David Parkes, Dean of John A. Paulson School of Engineering and Applied Sciences, Harvard University