Conor joined Evidera in 2014 and has over 7 years’ experience in the field of health economics. In his current role, he is responsible for planning and executing statistical analyses to support health economic studies based on a wide range of statistical methodologies, including standard parametric survival analysis, flexible survival methods, population-adjusted indirect comparisons, and mixed-effects models for repeated measures. Additionally, he has extensive experience designing and implementing health economic models for conducting cost-effectiveness and budget impact analyses. Conor is a certified SAS programmer and is also proficient in a variety of other programming applications including R, Stata, and VBA. Conor has co-authored several articles in peer-reviewed journals and published and presented over 15 abstracts and posters at national and international conferences including ISPOR, AMCP, NACFC, and IAPRD. He has supported a variety of projects that focused on disease areas such as oncology (including immuno-oncology), neurodegenerative disorders, and rare genetic diseases. He is currently pursuing a master’s degree in statistics, with a focus in biostatistics techniques, from Pennsylvania State University. Prior to his current role, Conor attended the University of Massachusetts Amherst (UMass) and graduated with a Bachelor of Science in mathematics, with concentrations in applied mathematics and statistics.