Postdoctoral Fellowship in Environmental Biostatistics

I have openings for Postdoctoral Fellowships in Environmental Biostatistics at UT Austin. This position provides candidates with the opportunity to conduct research in the development of statistical methods for environmental health studies with a particular focus in the area of indoor and outdoor air pollution studies. Projects may cover topics such as:

• Methods development for building air pollution prediction models

• Development of model evaluation techniques for prediction models for health studies

• Methods for assessing the health risks of environmental mixtures

• Methods for randomized interventions on the indoor environment

• Software development for scaling methods to large datasets

Candidates will join a collegial and interdisciplinary team. Opportunities are also available to interact with a network of collaborators at the Dell Medical School, the UT Center for Health and Environment: Education and Research (CHEER), Yale University, the University of North Carolina, Chapel Hill, and Colorado State University.

Research publications related to this position are:

• A dynamic spatial filtering approach to mitigate underestimation bias in field calibrated low-cost sensor air-pollution data with Claire Heffernan, Drew Gentner, Kirsten Koehler, and Abhirup Datta.

• Assessing the health estimation capacity of air pollution exposure prediction models, with Jenna Krall and Kayleigh Keller.

• Estimating the health effects of environmental mixtures using principal stratification, with Jia Liu, Meredith McCormack, Loretta Mickley, and Michelle Bell.

• Error in estimating area-level air pollution exposures for epidemiology, with Kayleigh Keller.

• Long-Term Coarse Particulate Matter Exposure Is Associated with Asthma among Children in Medicaid, with Corinne Keet and Kayleigh Keller.