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Graduate Research Assistant
University of Rochester•  May 2012 - April 2022
Python Data Processing and Visualization • Standardized the Python user interface that handles the deployment of large scale data and computation to adhere to best engineering practices with concise and readable code • Implemented scripting using a physics graphical framework built in Python to generate 10,000+ high quality scientific data visualizations C++ Data Science • Independently created a particle physics analysis that produced publishable scientific results by prototyping and testing multiple data science projects that developed reconstruction techniques on large data sets • Designed physics algorithms utilizing expert knowledge of the C++ Gaudi framework, which improved measurement accuracy 20% and expanded data modelling capabilities to describe discrepancies between the predictive models and experimental data • Contributed in building a new C++ framework using object-oriented programming principles that centralized the measurement of systematic uncertainties, leading to more reliable statistical modelling MINERvA Experiment Collaborator • Communicated technical information in regards to the experimental results in high profile presentations and conference talks to the wider scientific community for 8 years • Collaborated with a large multinational group of 70+ scientists to ensure experimental data integrity • Mentored fellow students in physics and coding methods which advanced experimental results
Education
University of Rochester
Physics, PhD•  May 2014 - April 2022
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