Katie Spoon
Katie Spoon

Katie Spoon she/her

I study how inequality accumulates across education, careers and health — at the scale of whole populations.

Data Science Fellow and New Map of Life Fellow, Stanford University

I work with Mitchell Stevens and David Rehkopf at Stanford. I received my PhD in computer science at CU Boulder in 2025, advised by Aaron Clauset and Dan Larremore and supported by an NSF Graduate Research Fellowship, alongside a Master's in education policy. I have been a Data Science Fellow at the U.S. Census Bureau and a graduate research assistant at the National Center for Women & Information Technology. Before the PhD I was a research engineer at IBM Research, and studied computer science at Indiana University, where I built a system to detect dyslexia in children's handwriting. Full history on the CV.

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Research

Newest first · all papers on Scholar

Life-course research has studied turning points — events that durably redirect a trajectory — since at least Elder's work in the 1980s, and has developed a range of ways to identify them. These projects look for turning points at scale in longitudinal records: which diagnoses redirect a patient's disease trajectory in primary care, and which events in early adulthood shift a life trajectory, for whom.

A summer in the Census Bureau's Enhancing Health Data group, developing a community-level measure of the risk that access to healthcare is declining.

Research on gender in higher education has tracked representation and attrition since the 1970s and documented the role of departmental climate. These papers add large-scale evidence from the employment records of nearly every professor at US universities, paired with survey and interview data: women leave faculty positions at higher rates than men at every career stage, tenure included, and faculty who leave more often cite their workplace than anything pulling them elsewhere.

Dyslexia affects roughly one in five people in the US, and benefits from early detection, but screening tests are applied inconsistently and classroom teachers are not generally trained to administer them. These two workshop papers contributed handwriting datasets from children with and without dyslexia, a computer-vision classifier intended to run alongside existing screening, and a follow-up examining whether such a system should be used at all.

Press

News

Fall 2025Moved to California and started at Stanford, and attended the Complex Networks Winter Workshop in Quebec. 🍁
Summer 2025Took a break from work to hike the Colorado Trail. 🌲
Spring 2025Finished my PhD. 🎓
Fall 2024New op-ed in The Conversation on US book bans, and started working with the National Center for Women & Information Technology.
Summer 2024Started as a Data Science Fellow at the U.S. Census Bureau. New paper in PNAS Nexus.
Spring 2024Received an Achievement Reward for College Scientists and an Annual Outstanding Research Paper award from CU Boulder.
Fall 2023New paper in Science Advances, featured as an exemplary paper in social and interdisciplinary sciences. Passed my dissertation proposal defense. 🎉
Summer 2023Talks at IC2S2 and the Atlanta Conference on Science & Innovation Policy.

Teaching

Fall 2024Guest lectures, University of Colorado BoulderPHIL 2800: Ethical Puzzles and Moral Conflicts
Fall 2019Professional development teaching assistant, IBM ResearchUpskilling class on deep learning. Designed and gave mini-lectures; held office hours.
2018 – 2019Lead graduate assistant instructor, Indiana UniversityCS C343: Introduction to Data Structures & Algorithms. Designed labs, homework and exams; managed a staff of 12 teaching assistants.
Spring 2018Undergraduate teaching assistant, Indiana UniversityCS C343: Introduction to Data Structures & Algorithms
2016 – 2017Undergraduate teaching assistant, Indiana UniversityCS C241: Discrete Mathematics for Computer Science
2019Graduate Teaching Assistant of the Year, Indiana UniversityDepartment award

Research mentoring

4 students, 2 of them coauthors
2022 – 2023Joanna Mendy — sociology and political science undergraduate, then information science graduate student, CU BoulderGendered devaluation underlies faculty retention — coauthor on the resulting paper
Summer 2022Maria Martinez — School of Education graduate student, CU BoulderGendered devaluation underlies faculty retention — coauthor on the resulting paper
Spring 2022Swag Das — computer science undergraduate, CU BoulderBeliefs about why women leave academia
Spring 2022Jordan Roos — biomedical engineering undergraduate, CU BoulderAcademic fields with fewer women are more stressful

Writing

Essays and perspectives
2024 Gendered devaluation and retention among U.S. faculty CSWEP News