HENRY H. LIU, PHD, was once a physicist. Through his theoretical research and modeling on projecting trajectories of charged particles traveling at nearly the speed of light, he made unique, crucial contributions to several large-scale scientific research facilities in the national labs of China, France, Germany, and the United States. Later he jumped to computers and focused on software systems performance optimization, benchmarking and sizing. His highly acclaimed text titled Software Performance and Scalability: A Quantitative Approach has been in use for educating CS students in colleges and universities worldwide. In more recent years, as the iPhone traffic forecaster as well as lead iOS systems performance and capacity planning engineer, he applied his past scientific predictive modeling experience as well as his extensive systems performance and capacity planning experience to helping forecast yearly iPhone launch events and get better prepared for dealing with high peak traffic. With this job, while delivering the highest degree of customer satisfaction with his fellow teams, he has consistently achieved high forecasting precision for iPhone launch peak traffic, e.g., around 90% average forecasting accuracy for the latest iPhone 11 launch. His quantitative, methodical, profile and model-based approach has been proven to be widely applicable to forecasting and timing events of time-series nature.