Christopher Seifert is a graduate student in Environmental Earth System Science. His research focuses on using statistical analyses and crop models to investigate adaptation strategies for agriculture as we move into the human-modified climate regime of the 21st century. This effort is motivated by questions such as - What sorts of agronomic methods, techniques and technologies could both raise crop productivity as well as reduce agriculture's environmental impacts? How should nation states and the private sector allocate their investments in agriculture so as to obtain optimal outcomes? What role can science and data analysis play in fighting market failures in agriculture?
Prior to his time as a graduate student, Chris was the first ag-tech hire at The Climate Corporation from 2011-2013 and analyzed data for Google Maps from 2010-2011. He received a MS from Stanford in 2010 and a BS with honors in Environmental Science, Technology and Policy from Stanford in 2009.