Austin Schumacher

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Magnuson Health Sciences Center - F Wing
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My passion lies in developing statistical methods for global health applications.

Previously, I worked as a Post-Bachelor Fellow and Research Associate at the Institute for Health Metrics and Evaluation (IHME). My research at IHME focused on estimating demographic indicators such as mortality probabilities, life expectancy, and population numbers over time at the global level and disaggregated by country/province/state/county, sex, and age.

Currently, I am working with Dr. Tyler McCormick from the Department of Statistics at UW and Dr. Stephane Helleringer from the Department of Population, Family, and Reproductive Health at the Johns Hopkins Bloomberg School of Public Health. We are trying to improve the estimation of neonatal mortality (death during the first 28 days of life) in low-resource settings. Current data collection and analysis techniques have focused on under-5 mortality and, when used to estimate neonatal mortality, lead to substantial biases in estimates. We are looking to improve this estimation with novel statistical methods to analyze the currently collected data using state-of-the-art Bayesian statistical methods. The second phase of this research will be developing a new data collection method and simple ways to analyze this data. Ultimately, the goal of this research is to produce better estimates of neonatal mortality. This will help in tracking health progress and the potential impact of interventions aiming to improve mortality in this vitally important age range. Additionally, I have been awarded an NIH funded Training Grant for Biostatistics and Mental Health.

Outside of the UW Biostatistics program, I play competitive volleyball through USAV and in the greater Pacific Northwest region. I also dabble in music production and attempt to serenade others on the ukulele.

My passion lies in developing statistical methods for global health applications.

Previously, I worked as a Post-Bachelor Fellow and Research Associate at the Institute for Health Metrics and Evaluation (IHME). My research at IHME focused on estimating demographic indicators such as mortality probabilities, life expectancy, and population numbers over time at the global level and disaggregated by country/province/state/county, sex, and age.

Currently, I am working with Dr. Tyler McCormick from the Department of Statistics at UW and Dr. Stephane Helleringer from the Department of Population, Family, and Reproductive Health at the Johns Hopkins Bloomberg School of Public Health. We are trying to improve the estimation of neonatal mortality (death during the first 28 days of life) in low-resource settings. Current data collection and analysis techniques have focused on under-5 mortality and, when used to estimate neonatal mortality, lead to substantial biases in estimates. We are looking to improve this estimation with novel statistical methods to analyze the currently collected data using state-of-the-art Bayesian statistical methods. The second phase of this research will be developing a new data collection method and simple ways to analyze this data. Ultimately, the goal of this research is to produce better estimates of neonatal mortality. This will help in tracking health progress and the potential impact of interventions aiming to improve mortality in this vitally important age range. Additionally, I have been awarded an NIH funded Training Grant for Biostatistics and Mental Health.

Outside of the UW Biostatistics program, I play competitive volleyball through USAV and in the greater Pacific Northwest region. I also dabble in music production and attempt to serenade others on the ukulele.