Resume: http://www.kohavi.com/RonnyKResume.pdfConsulting and teaching. For my 10-hour live class, see https://bit.ly/ABClassRKLIOur book, Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing, co-authored with Diane Tang from Google and Ya Xu from LinkedIn is available: https://experimentGuide.com . It was translated to Chinese, Japanese, Korean, and Russian. Accomplished executive leader and technological innovator; industry leader in controlled experiments, machine learning, personalization, and AI. Leads, motivates, and mentors high-performing teams, most recently Analysis & Experimentation at Microsoft with a mission to accelerate innovation using trustworthy analysis and experimentation.Vice President and Technical Fellow at Airbnb.Previously Technical Fellow and Corporate Vice President at Microsoft, one of about 40 Technical Fellows among 250 VPs of 140,000+ Microsoft employees (<0.2%).Accelerated software innovation using trustworthy analysis and experimentation. Enabled discovery of surprising new ideas that improved the user experience and provided incremental revenue of hundreds of millions of dollars at Amazon and Microsoft. Founded Microsoft’s Experimentation Platform team, developed and grew the Analysis & Experimentation team to over 110 Data Scientists and Developers and enabled running experiments across more than 15 major Microsoft product groups. Named the 5th most influential scholar in AI and the 26th in Machine Learning (2016), I have introduced practical improvements to the theory and scale of accuracy estimation, feature selection, and controlled experiments, changes that have been published in peer-reviewed papers and implemented across the industry. With more than 42,000 citations to my published work and three machine learning papers in the top 1,000 most-cited papers in Computer Science, I am recognized as a thought leader and innovator in my field.Quora top-viewed writer in A/B testing, a frequent keynote speaker at conferences, and key developer of 15 patents in Machine Learning, Visualization, and Experimentation.