The book authors come from leading companies using controlled experiments.
Ron Kohavi is now consulting and teaching. He was Vice President and Technical Fellow at Airbnb and a Technical Fellow and Corporate VP at Microsoft. Prior to Microsoft, he was the director of data mining and personalization at Amazon.com. He has a PhD in Computer Science from Stanford University. More at http://www.kohavi.com
His papers have over 55,000 citations and three of his papers are in the top 1,000 most-cited papers in Computer Science.
Diane Tang is a Google Fellow, with expertise in large-scale data analysis and infrastructure, online controlled experiments, and ads systems. She has an AB from Harvard and MS/PhD from Stanford, and has patents and publications in mobile networking, information visualization, experiment methodology, data infrastructure, and data mining / large data.
Ya Xu heads Data Science and Experimentation at LinkedIn. She has led LinkedIn to become one of the most well-regarded companies when it comes to A/B testing. Before LinkedIn, she worked at Microsoft and received a PhD in Statistics from Stanford University. She is widely regarded as one of the premier scientists, practitioners and thought leaders in the domain of experimentation, with several filed patents and publications. She is also a frequent speaker at top conferences, universities and companies across the country.