As a Data Scientist at Precision Analytics, I have had the good fortune to meld my background in epidemiology and biology with meticulous programming and data management practices. I have worked in a number of substantive areas including health care policy, health outcomes analysis and prediction, as well as forays into bioinformatics. I have always worked with many disparate sources of data which I pride myself in cajoling into a coherent picture. Continuous learning is at the core of my work life, for which I am perpetually thankful to Precision Analytics and my colleagues without whom my horizons would not be so broadened.
February 10, 2023
Bad habits I shed when I started working alongside software developers
An opportunity to work with software developers taught me lessons I still use in all my projects today
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January 5, 2022
Implementation of a decision tree analysis
Model fitting, hyperparameter tuning, and outcome prediction with tidymodels
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October 28, 2021
An introduction to decision tree theory
The first of a three-part series exploring the theory and implementation of decision tree models
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November 29, 2017
From SAS to R
After working for a few years with academics who insisted on using SAS and growing to really enjoy using it, I’ve set myself out to learn R
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