Joanne Shin is currently a Data Scientist at Kaiser Permanente. From 2013 to 2015, Ms. Shin's passion for technology and analytics led her to pursue a Master of Science degree in Artificial Intelligence under the Electrical Engineering department at UC San Diego; a discipline that focuses on statistical learning. While in graduate school she interned for Kaiser Permanente and worked as a research assistant in the Neural Interaction Lab under the guidance of Professor Todd Coleman.
Forecasting Influenza-Like Illnesses
Having foresight into patient encounter activity for influenza-like illnesses (ILI) is beneficial for resource planning and operations. This project involves analyzing historical ILI encounters and training an ensemble of machine learning models to forecast ILI activity on a daily scale for a 2-week horizon.