Olivia Tang

Computational Biology @ Harvard University | Former student at UNC

Role
Data Analyst at Stanford Snyder Lab
Location
Miami, FL, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Olivia Tang

Master\'s candidate in Computational Biology and Quantitative Genetics at Harvard…

Experience

  1. Data Analyst

    Stanford Snyder Lab

    Jul 2022 — Present · US

    Designed an automated computational pipeline to analyze genetic mutation sites with Python, producing data visualizations featured in a Nature journal publication·Identified key health indicators associated with adverse outcomes using R-based statistical modeling, improving diagnostic accuracy by 20% through refined logistic regression and machine learning models·Built a machine learning pipeline in Python integrating random forest and gradient boosting to detect high-risk SARS-CoV-2 spike protein mutations with enhanced predictive performance·Designed and conducted longitudinal healthcare studies to analyze treatment efficacy across 500+ patients; uncovered three predictive factors to support personalized care and outcome optimization·Developed an automated workflow to analyze genetic mutation sites, using Plotly to create interactive data visualizations featured in a Nature journal publication

Education

  • The University of North Carolina at Chapel Hill

    Bachelor of Science - BS, Psychology; Minor in Information Science

  • Harvard University

    Master of Science - MS, Computational Biology and Quantitative Genetics

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Olivia Tang — Data Analyst at Stanford Snyder Lab in Miami, FL, US | Unifers