Jaime Batiz

Technology coordination; 10+ yr. experience in AdLearn research and development involving performance prediction, optimal scheduling, impression volume prediction, feedback control systems, and the process of bringing research results to production systems. He is a co-inventor of a patented application related to feedback-based campaign delivery systems, and holder of the June 2006 Advertising.com Innovator Award.

Prior to Aol/Advertising.com, Jaime was a consultant at Onward, Inc. where, in addition to working on the early versions of AdLearn, he developed a tool to evaluate investment strategies for firms with R&D; portfolios. He participated in the improvement of the first AdLearn system, created the first adaptive model for performance prediction and website volume estimation, and has lead many projects in the R&D office involving research, engineering and product management. Early on, he worked extensively in providing training to Delivery teams, and Senior Management on topics related to Optimization, and AdLearn. He also developed and maintained the first Dashboard application for Advertising.com Delivery and Publisher Services.

Jaime holds a M.S. and Engineer degrees in Engineering–Economic Systems & Operations Research (EES&OR) from Stanford University, Stanford, USA. His thesis was entitled, “Optimal risk allocation in a trading department”