Scott Barber is viewed by many as the world’s most prominent thought-leader in the area of software system performance testing and as a respected leader in the advancement of the understanding and practice of testing software systems in general. Scott earned his reputation by, among other things, contributing to four books (author, Web Load Testing for Dummies, John Wiley & Sons, Inc.; 2011, co-author, Performance Testing Guidance for Web Applications, Microsoft Press; 2007, contributing author Beautiful Testing, O’Reilly Media; 2009, contributing author How to Reduce the Cost of Testing, Taylor & Francis; 2011), composing over 100 articles and papers, delivering keynote addresses on six continents, serving the testing community for four years as the Executive Director of the Association for Software Testing, serving as a Director of the Computer Management Group and co-founding the Workshop on Performance and Reliability. Recently, Scott applied his knowledge and experience from a different perspective while crystallizing his Agile Project & Product Management skills as the Product Owner of SmartBear’s Load Testing Tools. Today, he is focused on making performance a seamless, low-effort, high value part of Agile development of services architectures. When he’s not “being a geek”, as he says, Scott enjoys spending time with his partner Dawn, and his sons Nick and Taylor at home and in other interesting places that his accumulated frequent flier miles enable them to explore. Specialties: Specialties: product management, team leadership, delivery of performant systems, coaching teams & individuals, developing custom software product delivery methodologies, embedded systems, biometric identification & security systems, group facilitation and author instructional materials. ©

I am a Principal Statistician at Janssen, a Jonson & Johnson Pharmaceutical Research and Development Company, and a Research/Teaching Specialist at the Cardiovascular Institute of NJ. I am currently working toward my PhD in Pharmaceutics at Ernest Mario School of Pharmacy, Rutgers University. I specialize in analysis and visualization of data from drug discovery, pre-clinical, early clinical, and long-term observational studies across multiple therapeutic areas including cardiovascular, immunology, oncology and neuroscience. My work in scientific computing is focused on developing new statistical tools and web applications, as well as improving existing methods, and covers areas such as data mining, predictive modeling, and Next Generation Sequencing (NGS) data modeling (DNA and RNA sequencing and Microbiome research). Please visit for the list of and links to my publications. ©