In both my professional and personal life, I cherish deep connection, trust, exploration, and diversity. At work, I'm fueled by my passion for using data to tell compelling stories and express myself effectively. I find immense satisfaction in seeing my data narratives resonate with stakeholders beyond my field, empowering them to make informed decisions. I firmly believe that nurturing psychological safety within teams is the cornerstone of success.
Outside of work, I'm all about embracing offline and offscreen activities. You'll often find me hiking with my beloved dog Peony, checking out comedy shows, immersing myself in art, and enjoying live musical performances. These experiences recharge me and inspire my creativity.
PhD in Statistics, 2020
Iowa State University, United States
BSc in Statistics, 2015
Wuhan University, China
Demonstrated superior performance in predicting mean RUSLE2 erosion for South Dakota counties.
ISOFAST, an interactive web tool developed using R Shiny, aimed at enhancing communication of on-farm trial results and aiding decision-making by farmers and agronomists through the synthesis of multi-site and multi-year trial data using a random-effects model.
Utilized long-term monitoring data and land cover datasets to model the probability of occupancy and colonization for 38 bird species, aiding in the prediction of species distributions on the Iowa landscape and providing valuable insights for conservation efforts amidst limited resources.