Welcome Edie Espejo!

Please join us in welcoming Edie Espejo, Statistician, to our Division!!

Edie started this past Monday at NCIRE and will be supporting multiple epidemiology and health outcomes researchers and clinicians at UCSF focused on improving the health of older persons.  Edie earned her B.S. in Statistics from UC Davis and an M.A. in Biostatistics from UC Berkeley.  Between 2018 and 2020, Edie worked as a Graduate Student Instructor for various statistics courses at UC Berkeley, where she supported undergraduate students concluding with a 98% pass rate.  She prepared and gave lectures four times a week as well as supported undergrad students outside of class through holding office hours.  She also worked as a Research Specialist for The Moore Lab where she created phylogenetic software for NSF-funded project on Bayesian posterior estimation via partitioned evolution models, wrote pipelines in R and debugged/repurposed existing ones for efficiency to be run in parallel, and collaborated with PIs and PhD students to ascertain biological implications of coding results.  Edie brings a breadth of skills in statistical modeling, machine learning, data visualization, SQL, dplyr/dataframes, API’s, regression, time series, and dashboards.  Last but not least, Edie served as the Statistics Club President at UC Davis between 2016 and 2017, and was a cofounder of the on-campus data science convention, and for academic excellence.  In her new role at NCIRE, Edie will be working with large and complex databases to derive analytic datasets, advising on the optimal statistical approaches for assessing research aims, and performing and interpreting statistical analyses for various extramural grants and proposals, especially projects related to the Pepper Center and the newly-funded P01 at NCIRE.  We’re super excited to onboard Edie and have her meet with everyone (although remotely)!  Please join us in welcoming Edie to the team!  She can be reached at [email protected].