Wajeeha U

Graduate Research Associate

University of California, Irvine • Full-time

Sep 2022 - Present • 3 yrs 8 mos

I am a PhD candidate in Environmental Health Sciences at the University of California, Irvine, specializing in exposure science and epidemiology. With 5+ years of hands-on research experience across academic, government, and international projects, I bring publication-level rigor and real-world expertise to every freelance project I take on. My expertise spans advanced statistical analysis in R, SAS, and Python — including logistic and linear regression, mixed-effects models, mediation and moderation analysis, propensity score weighting, and publication-ready data visualization. I also perform professional geospatial analysis and mapping using ArcGIS, with direct project experience analyzing ECOSTRESS satellite imagery and environmental exposure data across vulnerable communities in Los Angeles. My research portfolio is broad and credible. I have worked with the nuMoM2b cohort — one of the largest US pregnancy cohorts with 9,000+ participants — examining environmental and psychological exposures on maternal and neonatal health outcomes. I collaborated with EPA Pakistan on a World Bank-funded project detecting critical smog episodes in Lahore from 2012 to 2021, quantifying the associated disease burden on the health sector. My peer-reviewed work has been published in Diabetes Care, Environmental Health Perspectives, and Science of the Total Environment. I hold the Distinguished Public Impact Fellowship and Health Equity Research Scholarship at UC Irvine, reflecting my commitment to research that drives real community impact. What I offer: Statistical analysis & modeling (R, SAS, Python) GIS mapping & spatial analysis (ArcGIS) Epidemiological study design & support Data visualization & publication-ready figures Systematic & literature reviews Environmental & public health data analysis Whether you are a researcher, graduate student, nonprofit, or public health professional — I deliver accurate, clean, and reliable results on time, every time.