Hello, everyone. My name is Wendy Miller, and I am an associate professor at the IU School of Nursing. Really happy to be part of this, and I wanted to take a moment to tell you a little bit about my translational research. My focus really has been in my academic career in epilepsy self management or any kind of chronic disease self management. Building interventions for people who are struggling with those diseases to improve their self management, their access to care and ultimately their outcomes. My special interest has been in using big data to capture the patient voice. Specifically, I've used a lot of social media data, specifically from the Epilepsy Foundation, which has years and years of chat rooms and message boards available where patients go to ask questions, and also I have exclusive access to a database called Chacha, and also some Twitter data. What I have done over the past five years or so is used different modeling techniques with folks from informatics to really pull out the organic patient concerns from those data. It's a little different than going to the patients and asking them, what are your main concerns? Rather we let the data speak to us. This helps to make interventions developed for self management really truly patient centered. The interventions that haven't been working as well, my team and I are thinking what maybe because we're focusing on the wrong things. We're not hitting the things that patients are actually concerned about. I'm currently funded with an RO one via the National Library for medicine at the NIH partnering with informatics at IU to build something called Mura for people with managing epilepsy. That's what I'll be talking about in my session and my poster, and it is an intervention that relies on visualization, social media data, and algorithms and really allows patients to curate their own health information with that information that's given to them based on their stated needs. I look forward to working with you.