about

I am a PhD student in Computer Science at Princeton University advised by Lydia Liu. I am interested in algorithmic fairness and the ethics and politics of algorithmic decisionmaking, and in particular using methodology from causal inference to study these topics. In addition, I have interests in the overlap of these topics with philosophy, especially social philosophy, decision theory and philosophy of (social) science.

I graduated with a BA in Computer Science and English from Columbia University in 2019, an MPhil in Philosophy from Trinity College Dublin in 2020, supported by a George J. Mitchell Scholarship, and, supported by a Knight-Hennessy Scholarship, an MS in Symbolic Systems at Stanford University in 2024, where I was advised by Thomas Icard.

From 2020 to 2021, I led data quality for The COVID Tracking Project at The Atlantic, a 300 person mostly volunteer organization that emerged out of thin air to compile state-level US COVID-19 data for the first year of the pandemic. Participation in that project demonstrated to me the immense power of building intentional communities rooted in care -- manifested in CTP's case as careful work, care for those who relied on the data, and as care for each other. You can read more about what made the project tick, from its co-founder Erin Kissane, here.