Projects

Drew is currently an operations support specialist at KBCS, building quality interactive experiences for their website and ensuring that existing content is accessible to humans and machines. Spearheading an initiative to improve accessibility and SEO, they have doubled organic traffic to the KBCS website from google by adding semantics to the theme and resolving errors.

As a recent graduate from the University of Washington Seattle, Drew has had the opportunity to participate in a variety of projects. Their most recent project was for a data visualization course. In this project, Drew was responsible for creating an interactive visualization where people could create their own high speed rail network and get the estimate ridership for each line. This project was created in d3.js and deployed using CI/CD pipelines through github.

In an increasingly connected world, it can be hard for people to keep up. MindMii is a design prototype created to help neurodivergent and incredibly busy people to respond to important messages. This design is supported by a diary study and contextual inquiry. The prototype was designed in Figma by Drew. MindMii won an award for quality design as the top choice by Teaching Assistants for the UW course Introduction to HCI.

Many people who are formerly incarcerated experience underemployment after release from prison. ResiTogether is an interactive prototype of an app designed to help formerly incarcerated people achieve their employment goals. Contextual inquiry was the primary methodology for creating personas, along with a survey of the career related experiences of people who are formerly incarcerated. The resulting interactive prototype was created in Figma by Drew for an introductory Informatics Course.

For clinical research trials on diseases which have small populations, often datasets with many variables are generated with few entries. These datasets are analyzed to identify potential relationships with clinical outcomes. Machine learning techniques are increasingly employed for such analyses, yet little is known about the accuracy of algorithms for variable selection in different settings. This research, published in the The New England Journal of Statistics in Data Science, aims to establish guidelines for combining variable selection algorithms to assess accuracy under various conditions.