Hello! I'm a fifth year PhD student advised by James Fogarty and Sean Munson at the Paul G. Allen School of Computer Science & Engineering. I received my undergraduate degree in computer science from Pomona College.
My research focuses on supporting people and providers in expressing and pursuing their multiple, distinct, and evolving goals to help them overcome barriers to personalized management for chronic health conditions. I have investigated three health contexts characterized by complex, chronic symptoms that require personalized interventions to address: irritable bowel syndrome, mental health disorders, and migraine. To examine supporting chronic condition management, I first focus on understanding the unique challenges within that condition. I then design, develop, and evaluate novel methods and tools to help people and their health providers better understand and manage that condition.
My research focuses on helping individuals and their health providers better understand and manage their health. My general approach includes:
Formative Work through surveys and interviews to identify needs, challenges, and opportunities
Iterative Design and Development through prototypes and implementations to create tools that support people and providers
Evaluations through deployments with pre- and post-interviews to examine how those tools could be used
I have applied this approach to myriad health contexts, consulting and collaborating with health professionals throughout the process to draw on existing expertise within each context.
My current research focuses on supporting self-tracking by people with migraine. People often track migraine-related data for a number of different goals (e.g., identifying migraine triggers, predicting future migraines, sharing data with health providers), but current tools do not explicitly support the goals people want to pursue. I am currently investigating goal-directed self-tracking, a new approach for supporting every stage of self-tracking. I aim to help people: track exactly and only what they need to achieve their goals; appropriately interpret and act on their data with respect to those goals; and share their data with their health providers. This work is being done in collaboration with the UW Headache Clinic.
My investigation of goal-directed self-tracking has involved a number of projects:
As an intern at Microsoft Research, I worked with Mary Czerwinski to help develop and evaluate Pocket Skills, an app designed to provide holistic support for Dialectical Behavioral Therapy (DBT). DBT is a type of behavioral therapy designed to treat complex, difficult-to-treat disorders and suicidal ideation. We aimed to support people in learning, practicing, and implementing DBT skills to help them solve problems, maintain relationships, and navigate negative events and emotions. I joined the project after some initial formative work and development had already taken place, collaborating with HCI experts, clinical psychologists, and mobile app designers and developers to help adapt some skills from the DBT skills training manual and workbooks into app content. I then conducted a feasibility study to evaluate how Pocket Skills could help people engage with their DBT and manage their mental health conditions. For more details, please see our paper.
My earlier work focused on supporting IBS trigger identification. People with IBS experience gastrointestinal symptoms that are often caused by personalized food triggers (i.e., different foods are more or less problematic for different individuals). Providers often advise people with IBS to record their food and symptoms in journals to attempt to find correlations, but lack the time and tools necessary to interpret the resulting data. I worked with a multidisciplinary team of health and technology researchers to investigate how to help people with IBS and health providers identify personalized IBS triggers. We aimed to support lower-burden data collection; actionable data interpretation; and patient-provider collaboration.My investigation of supporting trigger identification has involved a number of projects: