Jacqueline Gutman

Jacqueline Gutman is a data scientist on the Quantitative Sciences team at Flatiron Health, supporting cancer research and improving patient care by working with electronic health record data and building accessible data science tools for reproducible research. Prior to joining Flatiron, she worked as a data scientist at Plated and at NYU School of Medicine, developing machine learning pipelines and researching ways to improve educational outcomes in the health professions. She holds a Master's in Data Science from New York University.


Simplified Data Quality Monitoring of Dynamic Longitudinal Data: A Functional Programming Approach

rstudio::conf 2020

Simplified Data Quality Monitoring of Dynamic Longitudinal Data: A Functional Programming Approach

January 30, 2020

Ensuring the quality of data we deliver to customers or provide as inputs to models is often one of the most under-appreciated and yet time-consuming responsibilities of a modern data scientist.