# Daniel Vagie > Scientific Software Engineer, Data Scientist Location: Greater Boston, United States Profile: https://flows.cv/danielvagie I received my PhD in Physics in 2021 and started working in the industry as a Data Scientist. My experience includes causal inference modeling, machine learning, R / python programming, version control systems, and working on pipelines to process clinical data and train models. ## Work Experience ### Senior Scientific Software Engineer @ Ganymede Jan 2025 – Present ### Scientific Software Engineer @ Ganymede Jan 2023 – Jan 2025 ### Data Scientist @ Aitia Jan 2023 – Jan 2023 | Somerville, Massachusetts, United States • Built pipelines using R, Python, and DVC to process clinical genomic data, and build causal AI disease specific Digital Twins to increase software reusability • Assembled Python packages to streamline the biological and literature search process to validate drug targets using Git, GraphQL, requests, Beautiful Soup, unittest, and Pandas by processing thousands of genes automatically • First authored abstract that validated 3 genes as causal predictors of survival in Multiple Myeloma patients using causal inference and survival analysis regression to reach company goal, and increase visibility at ASH conference • Collaborated with multiple colleagues to standardize procedure to evaluate clinical data as part of stage 1 RnD and Precision Medicine collaborative process to take data from deliverable format to trained machine learning model ### Data Scientist @ Aitia Jan 2021 – Jan 2023 ### Graduate Teaching Assistant @ University of Oklahoma Jan 2016 – Jan 2021 ## Education ### Doctor of Philosophy - PhD in Physics University of Oklahoma ### Master's degree in High Energy Physics University of Oklahoma ### Bachelor of Science - BS in Physics East Stroudsburg University of Pennsylvania ## Contact & Social - LinkedIn: https://linkedin.com/in/daniel-vagie-2802561ab --- Source: https://flows.cv/danielvagie JSON Resume: https://flows.cv/danielvagie/resume.json Last updated: 2026-03-31