Alicia Nobles is a Ph.D. candidate in systems and information engineering in the School of Engineering and Applied Science. Her research focuses on social computing, especially at the intersection of public health and policy. She is interested in using computational approaches to examine “digital footprints” for data-driven insights into human behavior.
During the course of her dissertation research, Alicia examined the relationship between data quality of electronic health records and insurance billing practices, health insurance literacy of college students, increased health information seeking in response to political events, online information seeking for sexual health, and predicted heightened suicide risk within young adults using text messages. She has collaborated across multiple fields including education, medicine, nursing, policy, psychology, and public health.
Alicia has presented and published her work at national and international conferences and journals including IEEE Big Data, American College Health Association, ACM Computer-Human Interaction, and AAAI International Conference on Web and Social Media. She has been supported by numerous competitive fellowships and grants including the Double Hoo Grant (2x recipient), NIH Transdisciplinary Big Data training grant, and Presidential Fellowship in Data Science. Beyond academics, Alicia served on the student health insurance committee for six years during her M.S. and Ph.D., where she advocated on behalf of the students for benefit alterations in annual renewal contracts.
Alicia is currently a visiting scholar at the Johns Hopkins Whiting School of Engineering and plans to complete her PhD in December 2018, following which she will pursue a faculty position in a public health department.