Gregory Wolfe is a data curation specialist with eight years of experience applying data engineering and analysis to scientific research in RNA structural biochemistry and machine-learning interatomic potentials. Currently a Lab Associate at NYU and a freelance data scientist, he builds ETL pipelines, parses instrument outputs, and creates publication-ready visualizations and databases for large molecular simulation datasets. Gregory combines hands-on scripting and visualization with a pragmatic understanding of experimental workflows, enabling collaborations that turn messy lab data into reproducible analyses. He also has hands-on ML experience from a TensorFlow research internship and a background that spans linguistics, theatre, and music teaching—an eclectic mix that helps him communicate complex results to diverse audiences.
8 years of coding experience
1 year of employment as a software developer
Data Science, Data Science at BloomTech
Master of Arts - MA, Comparative English Linguistics, Master of Arts - MA, Comparative English Linguistics at Ludwig-Maximilians-Universität München
Bachelor of Arts - BA, Theatre/Theater, Business, Bachelor of Arts - BA, Theatre/Theater, Business at University of Puget Sound
Plotting RNA data from NMR experiments with line fitting based on a range of millisecond/collected peak intensity values.
Contributions:4 reviews, 2 PRs, 16 pushes in 1 year 9 months
nmrpeakfittingbioinformaticsplotting
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