Danny Riser-Espinoza joined WEST in 2014 as a biometrician. From 2011 to 2014, Danny was the consulting statistician for Curry and Kerlinger, where he worked on wind energy and communication tower studies. Danny received a B.A. in Mathematics from Swarthmore College in 2009 and a M.S. in Statistics from Stephen F. Austin State University in 2013. His thesis was entitled “Recovering A Random Variable from Conditional Expectations Using Reconstruction Algorithms for the Gauss Radon Transform.”
Since joining WEST, Danny has worked on the design and analysis of avian and bat studies at numerous renewable energy facilities. He has extensive experience working at the nexus of industry and government, having designed, executed, and analyzed post-construction monitoring studies at over 40 wind and utility-scale solar energy facilities. In addition to project work, Danny assists with ongoing research into statistical methods for post-construction monitoring, including models to account for unsearched area, and applications of distance sampling. He has been heavily involved in early studies for the utility-scale solar industry, including the analysis of preliminary monitoring data, pre-construction assessment of sites on the east and west coasts, the design of post-construction monitoring plans, and the development of avian risk models. In addition to renewable energy studies, Danny has experience with fisheries escapements and elk abundance studies in California.