Summary
Nicole Flores is an undergraduate research assistant and data scientist-in-training based in Greater Boston with a decade of hands-on experience applying statistical and machine learning methods to psychology and public health questions. She has led multivariate analyses on large survey datasets (N≈980), operationalized novel constructs like Race Essentialism Ambivalence, and produced publication-ready visualizations and APA tables using R and GitHub for reproducible workflows. Her toolkit spans R, Python, and ML libraries, and she has developed an R package and an Elastic Net model for gene classification that achieved strong cross-validated accuracy. Beyond analysis, Nicole mentors peers on career development, designs outreach materials, and brings an intersectional, equity-focused lens to study interpretation and communication. Selected from competitive cohorts for AI and biostatistics programs, she blends rigorous quantitative training with experience translating results for academic and nonacademic audiences.
10 years of coding experience
Smith College
Midwood High School
English, Spanish