Senior Research Fellow
Phone: +64 9 921 9999 – ext: 8587
- 2010 – Ph.D., Epidemiology, Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI
- 2005 – M.P.H., Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
- 1997 – B.S., Biochemistry, University of Illinois, Champaign-Urbana, IL
- 1997 – B.S., Ecology, Ethology, and Evolution, University of Illinois, Champaign-Urbana, IL
Memberships and Affiliations:
Matt is an Epidemiologist focusing on translational research moving data science into population impact. He has focused on collaborating with governmental agencies and physicians to improve policy, performance and practice. Matt’s dissertation work focused on the bias introduced when using incomplete sampling frames to select study participants in case-control studies. This bias will increase in importance as privacy concerns restrict coverage of population-based sampling frames.
Matt was fortunate to recently spend several years understanding how policy is created, applied and evaluated while working at the Department of Children and Families in Wisconsin as the Research and Evaluation Section Chief. His mission was to expand our Department’s analytic capacity by using its collective data assets to improve decision making. As government agencies implement predictive models to improve effectiveness and efficiency, staff will be required to understand the basics of the statistics and the algorithms employed. He served as a field and research mentor for 17 epidemiology, sociology, medical, and public policy graduate students. Increasing analytic capacity across non-academic government employees will continue to be part of the work Matt does. At CSDA he is focused on designing, conducting and evaluating predictive risk models for use by public health, clinical and social work professionals in New Zealand and the United States. He is excited to use the data infrastructure in New Zealand to conduct timely research informing and improving policy and practice.
- 2015 – 2016, Instructor, Leadership Foundations, Data Driven Decisions, Performance Management, and Program Evaluation, Department of Children and Families, Madison, Wisconsin (48 Supervisors in the Department: 1 Day Trainings: Winter 2015 and 2016)
- 2011 – 2014, Instructor, University of Wisconsin – Madison, Population Health Sciences/Biomedical Informatics 650/451: Introduction to SAS for Population Health (77 graduate students)
- 2012, Guest Lecturer – University of Wisconsin – Madison, Introduction to Survey Research, Political Science 544 (1 lecture: Spring 2012)
- 2008, Teaching Assistant, University of Wisconsin – Madison, Population Health Sciences 800: Advanced Quantitative Methods in Population Health (25 students with 1 discussion section)
- 2007, Teaching Assistant, University of Wisconsin – Madison, Population Health Sciences 717: Population Medicine and Epidemiology (175 medical school students with 4 discussion sections)
- Epidemiologic and Biostatistics Methods
- Research Evaluation and Measurement
- Performance Measurement and Evaluation
- Predictive Risk Modelling
Current Research Projects:
Homeless Predictive Risk Modelling (United States):
- Predicting who is most likely to become homeless and implementing strategies for county workers to help integrate services to prevent chronic homelessness.
- Researching the use of predictive modelling to aid in the coordinated assessment of chronically homeless individuals to provide support to individuals and families at highest risk of adverse outcomes.
Beating the Odds (New Zealand):
- Using Growing up in New Zealand data to understand correlates of children that have fewer than expected adverse childhood experiences.