Zihe Wang

Master of Science in Biostatistics candidate at New York University with an honors degree in Economics from the University of Glasgow. Experienced in analyzing large-scale healthcare datasets using R and Stata, including multiple NHANES cycles. Proficient in processing health informatics and diet quality metrics (HEI-2015) to derive actionable health insights. Skilled in SAS and Python for data management and programming, dedicated to enhancing academic and public health research through meticulous data organization and statistical analysis.

• Graduate Thesis Research, NYU School of Global Public Health, 01/25, Present, Leading a cross-sectional analysis pooling NHANES data (2011–2018) to evaluate the impact of diet quality on depressive symptoms. Pivoted research methodology to the Healthy Eating Index (HEI-2015), demonstrating expertise in converting complex dietary recall data into continuous scoring models for linear modeling. Utilizing R for data informatics, ensuring generalizability through multistage, probability-based sampling adjustments.
• Undergraduate Dissertation, University of Glasgow, 01/22, 01/23, Analyzed experimental data investigating the impact of work uncertainty on motivation using multi-factor regression.
• Research Seminar, Cornell University, 01/22, 01/22, Evaluated financial risk parameters (WACC, Asset Beta) for US construction firms, resulting in a published thesis.