At Apple, I conducted user research and usability testing for Apple Cloud Services prior to the launch of an internal self-service PostgresSQL offering.

To help iTunes and Maps engineers manage a large number of data processing jobs, I designed a task scheduling and workflow management feature for our PaaS (similar to Apache Airflow), allowing engineers to create, schedule, and monitor complex Apache Spark workflows.

At Boeing, I created data products to help engineers and analysts do more with numbers.

This included dashboards to forecast aircraft life cycles, market evaluation tools for estimating flight disruption costs, and fuel efficiency dashboards to help airlines reduce operating costs.

I designed and tested a whitespace product to improve an existing disruption management tool, with the goal to help airline operation centers track flight status and mitigate delays.

I introduced a new design system to revamp legacy analytics applications that help engineers monitor and anticipate aircraft maintenance issues.

As a data designer for an atomic startup, I created many interactive data dashboards for our primary client, Boeing.

Outside of client work, I had a lot of fun creating data stories to promote our company in the open data community.

Here, I refined my own design and development process, learned to roll with the ambiguity and chaos that is startup life, and also leveled up in navigating the intricacies of a massive organization like Boeing.

At the University of British Columbia, I managed the Visual Cognition Lab and led research projects that explored interesting quirks with visual perception.

On one data visualization project, we used radical encodings like luminance and orientation to see whether people can effectively understand correlation from those unconventional charts.

I programmed experiments, conducted trials, performed statistical analysis, and had a blast making data beautiful and meaningful.