Julian Nam joins Avalon Health Economics as a Health Economist. Julian is a health economist with a core skill set in economic evaluation and epidemiology. This includes study design, analysis and critical appraisal of both applied and methodologic research related to cost-effectiveness and budget impact analyses, particularly: evidence syntheses, economic modelling and statistical modelling. He has experience conducting economic evaluation in a variety of areas, including cardiac, orthopedics, oncology and diagnostics. His analytic experience includes Markov modelling, probabilistic sensitivity analysis, expected value of perfect information, hierarchical bivariate meta-regression, survival + extrapolation, decomposition matrices, generalized linear modelling and simulation. He has proven skills in R, VBA, Stata, SQL, and Excel. Julian previously worked at the Health Economics & Health Technology Assessment Department at the University of Glasgow where he conducted clinical trial-based economic evaluations. He has served as a reviewer for the National Institute for Health and Care Excellence (NICE) and the National Institute for Health Research in the UK. He is a Dean’s Honors List graduate of the Master’s program in Health Research Methodology from McMaster University and the Honors Bachelors of Science program in Science & Business from the University of Waterloo. For more information, click here to see Julian’s biosketch.
Wenjia is a Health Economist with Avalon and a PhD candidate in Health Economics at the Faculty of Pharmaceutical Sciences, the University of British Columbia. She holds a Master of Public Health from the University of British Columbia and a Master of Science from the University of Iowa. Her current research at the University of British Columbia is focused on the longitudinal analysis of disease progression, disease costs and health-related quality of life in patients with asthma. Wenjia previously worked as a research fellow at the Global Health Outcomes team of Merck & Co., Inc. Prior to that, she was a graduate research assistant at the Leonard Davis Institute of Health Economics, at the University of Pennsylvania. Her research skills include the design of observational studies, management and analysis of linked administrative databases, quantitative research methods including longitudinal data analysis, survival analysis, multilevel modeling, meta-analysis, meta-regression, jackknife sensitivity analysis, and cost-effectiveness analysis. She has a high level proficiency in several statistical software systems, including SAS, STATA, R and Matlab. For more information, click here to see Wenjia’s biosketch.