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Dr. Needoba uses chemical and biological sensors deployed in the environment to characterize water quality and its determinants, with a focus on linkages between human activities, ecological processes, and human health. As part of the Ecosystem Monitoring Program supported by the Lower Columbia Estuary Partnership, the lab studies water quality and ecosystem characteristics of juvenile salmon habitat in the Columbia River estuary. Additional ongoing research addresses regional environmental health issues associated with harmful algal blooms, chemicals of emerging concern, and ocean acidification/hypoxia.
B.A., University of British Columbia, Canada, 1997
Ph.D., University of British Columbia, Canada, 2003
Postdoctoral Fellow, Monterey Bay Aquarium Research Institute, 2007
Thuan Nguyen is an associate professor of biostatistics in the School of Public Health. She teaches and advises graduate students in biostatistics and teaches two graduate courses – Linear Models and Survey Designs and Analysis. She is a biostatistician with a research emphasis in statistical methodology. Her research of interest includes mixed effects models, statistical genetics, model selection, small area estimation and longitudinal data analysis.
She has been involved with the Biostatistics Design Program at the Oregon Clinical Translational Research Institute since 2008 and has collaborated with many investigators on a wide range of research projects in clinical care, public health, health policy, basic science and social behavior science.
M.D., Hue University of Medicine & Pharmacy, 1995
M.S., Statistics, California State of University, East Bay, 2002
Ph.D., Biostatistics, University of California, Davis, 2008
Awards and Honors
- 2014: PHPH Mentoring Award
- 2002: Hee-bok Award
Meike Niederhausen is an Assistant Professor in the School of Public Health in the Biostatistics programs. Dr. Niederhausen teaches BSTA 550, “Introduction to Probability” to graduate level students and has an extensive background as a biostatistician in the School and beyond. For over ten years, she has been committed to teaching, research, and service by supporting research with study design, grant preparation, data management, statistical analyses, and manuscript review/preparation. She has also been lead on publications and grants.
A large part of Dr. Niederhausen’s research has focused on analyzing data from wearable activity trackers; on a series of projects investigating the effects of altering levothyroxine (L-T4) doses in hypothyroid subjects on quality of life, mood, cognition, energy expenditure, and body composition; and using machine learning methods to investigate the effects of alcohol, nicotine, and methamphetamine on decision-making and neural connectivity using functional MRI data.
B.A., New College of Florida, 1998
M.S., Purdue University, 2004
Ph.D., Purdue University, 2005