Before joining the faculty in the Department of Statistics, Kate was a postdoctoral research fellow at Harvard T.H. Chan School of Public Health. Prior to that, she was the Head of Data Science at Aclima Inc, where she was responsible for research and development of high resolution hyper-local air pollution maps. She has also worked as a senior data scientist at Climate LLC, where she used data science to grow crops and protect the environment. She received her PhD in Biostatistics from the University of Washington, Seattle. My current statistical research interests include

• Using auxiliary data to enhance estimation precision at no additional costs, correct for unmeasured confounding bias, and improve the efficiency of study designs.
• Smart study designs and their analysis tools
• Causal inference for spatial and time series data
• Automating asymptotic analysis

My current scientific research interests include 

• experiment designs and treatment decision algorithms in precision agriculture 
• design environmental monitoring network
• epidemiology
• understanding climate hazards