I've always been interested in the quantified-self and how using our own data can help us understand and improve ourselves. Setting goals and tracking ourselves is key to understanding our progress. Many of the projects below are simple and fun ways for me to explore my personal data through various data platforms.

We produce data constantly, why not use it to improve ourselves?!

I've been reading The Verge for nearly 10 years, so I was beyond excited when they published an article on my Apple Watch HRV data work with Dr. JP Onnela, PhD. This work underscores the importance of transparent data manipulation, algorithms, and analytical processes. Thank you to Dr. JP Onnela, PhD (Harvard School of Public Health) for his guidance on this data.

I began skiing in 2018 and, as with all things, have tried to capture as much data as possible. I've been using a fantastic application, Slopes, which has excellent data capture and export features. Most data visualizations for business applications are plain and to the point, so it was a lot of fun trying to design a dashboard with a more playful design.

Click the points on the map for location-specific data.

This was my first project using geographic data. I used Google Maps' 'My Maps' feature to map every hospital in Massachusetts and added a data layer which includes basic information about the hospital and whether they have an Emergency Department (ED), Intensive Care Unit (ICU) Neurosurgical service, Neuro-Oncology service, Radiation-Oncology service, or Cancer Center. Thank you to Lila Medeiros for her help in collecting this data.

Hover over points on the map for hospital specific information or filter hospitals using the categories at the top.

One of my first personal projects began at 30 when I realized it was time to start taking care of my heart. In 2018 I ran less than 100 miles. I hated it. I set out in 2019 to run 1000 miles in the year and while I fell short, I have learned a great deal from the process. There are no interactive elements to this very simple dashboard created in Google Sheets, but it was an important exercise in learning how to track personal data and use personal data.