Chenshu Yang

Statistics student at North Carolina State University with research experience in demographic analytics and computational biology. Skilled in Python, R, SQL, and quantitative data analysis, with experience processing survey datasets, biological data, and developing data-driven research insights. Interested in data analytics, computational modeling, and interdisciplinary research.

Undergraduate Researcher - Social Demography Research - North Carolina State University - Raleigh, NC

(2025-09)

Investigated the relationship between matrilineal family organization and socioeconomic development using village-level and household-level survey data from Mosuo communities in Yunnan, China.

• Cleaned, standardized, and analyzed demographic and economic variables, including land area, livestock ownership, household income, education, and kinship structure.
• Applied quantitative analysis to examine factors associated with economic outcomes and variation across family systems.
• Produced statistical reports, data visualizations, and evidence-based summaries to support hypothesis development and research discussions.
• Contributed to ongoing research exploring how matrilineal communities adapt and develop within broader patrilineal social and economic institutions.

Undergraduate Researcher - Ethnographic Research: Mosuo Matrilineal Family Structure - North Carolina State University - Raleigh, NC

(2025-07 - 2026-01)

Conducted fieldwork on Mosuo matrilineal society; analyzed kinship roles, inheritance patterns, and gendered social organization; Filmed and edited a documentary on matrilineal families and Dongba pictographic script.

Undergraduate Researcher - Bioinformatics Laboratory - North Carolina State University - Raleigh, NC

(2025-01 - 2025-06)

Computational Biology Research Project

• Managed and validated biological datasets containing protein sequence and structural information for downstream computational analysis.
• Applied AlphaFold structural predictions to support protein-DNA interaction studies and feature extraction workflows.
• Customized Python-based analysis pipelines by modifying source code, debugging scripts, and testing model performance under different configurations.
• Evaluated protein-DNA binding affinity prediction models through computational experiments and comparative analysis.
• Interpreted experimental results and summarized findings to support model refinement and research decision-making.

Historian and Core Member - K-pop Dance Club - Raleigh, NC

(2025-01)

• Produced and edited performance videos and promotional content for club events.
• Documented performances and maintained digital media archives for organizational use.
• Supported workshops and stage performances through coordination and content production.

Bachelor of Science - Statistics - North Carolina State University