Epidemiologist

Xinran (Catherine) Yu

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SUMMARY

Graduate student in Epidemiology with a strong commitment to health equity and evidence-based policy development. Experienced in public health research, data analysis, and health communication, with projects addressing chronic disease prevention, healthcare access, and environmental health. Skilled in applying AI and statistical tools to inform policy recommendations and community health strategies.

SKILLS

Laboratory Techniques: Gel Electrophoresis, Tissue Dissect And Preservation, Immunostaining (Fixed Tissues), Sample Handling, DNA Analysis, PCR And qPCR, Gene Expression Profilin

Data & Tools: Python, R, SQL, SAS, SPSS, Excel, MS Word, PowerPoint, PubMed Literature Review, Tableau, Scientific Writing, Reporting Protocols, Data Visualization, Data Management, Scripting Languages, Relational Databases, Health Communication

Relevant Coursework: Molecular & Cell Biology, Biostatistics, Epidemiology, Infection Prevention, Surveillance System Design, U.S. Health System

EXPERIENCES

Beijing Chaoyang Hospital Affiliated to Capital Medical University Beijing, China

Data Analyst Intern May 2023 – Jul. 2023

Analyzed 12,000+ clinical records to quantify the impact of air pollutants (PM2.5, NO, O ) on COPD exacerbation risk; identified a 20% increase in risk per 10 µg/m rise in PM2.5 and provided evidence to inform environmental health policies and public health advisories.

Conducted multivariate logistic regression and time-series analysis to adjust for comorbidities, seasonality, and demographic factors.

Cleaned, anonymized, and merged 4+ heterogeneous patient datasets using Python (pandas, NumPy) and SQL, ensuring HIPAA-compliant data handling.

Delivered 10+ statistical reports and interactive dashboards for physicians and epidemiologists to support clinical decision-making, optimize resource allocation, and guide community health interventions.

YiduTech Beijing, China

Public Health Data Analytics Intern Jun. 2022 – Aug. 2022

Processed and analyzed 50,000+ patient records from regional hospitals and CDC databases to support infectious disease modeling, enabling provincial health departments to design targeted prevention strategies.

Collaborated with data engineers, epidemiologists, and policy analysts to deliver 5+ actionable reports for health equity and access initiatives.

Ensured full compliance with China’s national health data standards and privacy regulations, contributing to internal data governance protocols

Streamlined data cleaning pipelines and reduced processing time by 30% through automation and standardization of input formats

Boston University Medical Campus Boston, MA

Nephrology Research Lab Assistant Fall 2023

Led nephrology research investigating renal gene expression and chronic disease pathways in murine models, demonstrating advanced proficiency in molecular biology techniques applicable to high-dimensional biological datasets.

Executed modern molecular biology techniques including qPCR and gel electrophoresis to detect genetic markers in mouse DNA; ensured meticulous documentation of experimental protocols and results to support data curation and reproducibility.

Applied mammalian tissue preservation methods including cryopreservation and paraffin embedding; contributed to immunostaining and microscopy workflows, emphasizing precise data annotation and protocol recording.

PROJECTS

Predictive Modeling for Urgent Hospital Admissions Based on Patient Comorbidity Profiles Jul. 2025 – Present

Analyzed 3,200+ patient records using SQL and Python to identify high-risk cohorts and inform real-time triage decisions for urgent admissions

Developed logistic regression and random forest models to predict urgency of hospital admission based on symptom severity, comorbidities, and vitals—achieving 85% classification accuracy

Found a 40% higher likelihood of urgent admission among patients with comorbid diabetes and hypertension, aiding clinical prioritization and bed management

Presented model outputs and population-level insights through operational dashboards that can streamline coordination between ED and inpatient departments

EDUCATION

Brown University, School of Public Health Providence, RI

Master of Public Health in Epidemiology Expected May 2026

Boston University, Sargent College of Health and Rehabilitation Science Boston, MA

Bachelor of Science in Behavior Health May 2024

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