I am a computational social scientist and a 4th-year PhD candidate in computer science at the University of Colorado, Boulder, where I am fortunate to be supported by an NSF Graduate Research Fellowship, and I am co-advised by Aaron Clauset and Dan Larremore. I am also getting a Master’s in Education Policy, advised by Kevin Welner.
I’m interested in identifying and describing inequalities in social systems, and designing, implementing, and evaluating interventions to reduce those inequalities. My research is broadly focused on quantifying barriers to and retention within the scientific and technical workforce for historically excluded populations. I enjoy using a diverse range of data science and social science methods to conduct large-scale, interdisciplinary administrative, survey, network, and text analyses, which often reveal patterns not visible at a smaller scale.
Prior to grad school, I worked as a research engineer at IBM Research, and studied computer science at Indiana University, where I developed an early-warning system to detect dyslexia in children’s handwriting.
NOV 2023 ∙ Passed my dissertation proposal defense and I am officially a PhD candidate!
JUL 2023 ∙ Gave a talk [slides] and presented a poster at the International Conference on Computational Social Science
MAY 2023 ∙ New preprint: Gender and retention patterns among U.S. faculty. Gave a talk at the Atlanta Conference on Science and Innovation Policy [slides]
JUL 2022 ∙ Gave a talk and presented a poster at the International Conference on Computational Social Science
JUL 2022 ∙ Gave a talk at the Women in Network Science and Diversify NetSci Satellite
JUN 2022 ∙ I enjoyed participating in the Summer Institute in Computational Social Science
JUN 2022 ∙ Gave a talk and presented a poster at the International Conference on Science of Science and Innovation
MAY 2022 ∙ I passed my prelims and finished year 2!