Andrew Jaciw has 17 years of experience in the field of education: 6 as a practitioner and 11 as a researcher. As Empirical’s Chief Scientist, Jaciw has been the primary developer of the experimental and analytic designs for all the company's research. He has led the design and analysis of 25 randomized experiments and countless quasi-experiments involving SEAs and LEAs, including 6 trials carried out through ED’s Institute of Education Sciences grants. Jaciw directed the design and analysis and co-authored the report of a state-wide, cluster-randomized trial involving 80 schools and around 700 teachers, assessing the efficacy of the Alabama Math Science Technology Initiative over a three year period. For evaluation of school programs where implementation issues are critical, he applies moderation and mediation analysis and approaches to estimating impact on those receiving treatment with sufficient dosage. Jaciw heads one i3 evaluation team (development) and works on another (validation), both for which he designed the randomized trial. He has extensive experience with designing RCTs and conducting impact, moderator, and mediator analyses using hierarchical generalized linear models applying SAS, R, and HLM software. Stanford University awarded Jaciw an MS in Epidemiology and a PhD in Education, focused on identifying factors that lead to discrepancies between quasi-experiments and true experiments in the analysis of program impacts. Before his MS, Jaciw earned a BS in statistics and MA in math education at the University of Toronto and worked as a statistical analyst at the Ontario Institute for Studies in Education and Ontario's Education Quality and Accountability Office.