My dissertation focuses on the sensing of nonverbal behavior between doctors and patients in order to elucidate links between communication and equitable health outcomes. I use mixed methods to understand interpersonal interactions and contextual dynamics, and my work seeks to inform the design of future AI systems to better facilitate human collaboration.
My work spans the fields of user experience, biomedical informatics, human behavior sensing, and applied machine learning.
I am passionate about equity across both healthcare and technology.
I believe all people are entitled to a healthy life and should benefit from modern computing. Unfortunately that isn’t the case due to identity factors such as race, gender, ethnicity, and systemic oppression.
We can each better our community through active participation in equity activities, as such I…
- Am a core contributor to the UnBIASED Project
- Participated in the first cohort of the Cultural Competency in Computing (3C) Fellowship
- Helped to establish the CSE DEI Committee and the CSE Celebration of Diversity
- Have served on the leadership board for Graduate Women in Computing
As a computer scientist and technologist I strive to create systems that alleviate human problems and enhance end-user experiences. As a social scientist and designer I acknowledge that technology may not always be the right answer. Before crafting answers you must understand the problem and people who face it.
- M.S. in Computer Science and Engineering
- B.S. in Cognitive Science with a specialization in Human-Computer Interaction and minor in Psychology.
Outside of work I enjoy hiking, SCUBA diving, photography, and generally working with my hands.
|Feb 2, 2022||Preparing to go on the job market - looking for opportunities both in and outside of academia|
|Sep 22, 2021||My website is (re)launched! Hello world 😊|