A part of my job as a data scientist is to make the data we collect available to other teams and clients in a useful and digestible format. It involves anything from automating monthly and quarterly reports to providing data-driven insights to Product or UI/UX teams. Another exciting aspect of the work I do at HRS revolves around machine learning, which is a growing field of computational methods aimed at making better predictions about future outcomes. I work on applying these methods to HRS data and outcomes data from Strategic Healthcare Programs (SHP) that our clients shared with us. Having continued access to these data sources allows me to work on machine learning models that are able to predict patient hospital readmissions with more accuracy. I spend a portion of my day working with the rest of the data team on how to refine these models and use them to improve HRS clinician workflow and patient outcomes
I think HRS has done a great job at hiring intelligent and compassionate people. My favorite thing about working here is my colleagues, who care about the work they do and its impact on clinicians, patients and the field of telehealth.
My favorite HRS memory is not one but many. I love when we go outside to eat lunch together. It really is a great time to get to know your colleagues, learn more about their work and enjoy the sun!
I like the gym, reading classics, going to art museums, painting or walking around and exploring the city. I also like to try new foods and bars - luckily we have an abundance of all that here. Occasionally, I take a bus ride to Philly to see my best friend.