[mylastname] [at] bu.edu
I am a second-year PhD student in computer science at Boston University, where I am advised by professors Adam Smith and Marco Gaboardi. I am interested in data privacy (e.g., differential privacy), and in issues of privacy and security more generally.
I graduated in May 2022 with an AB and SM (advanced standing) in computer science from Harvard University, where I did research in differential privacy with Professor Salil Vadhan.
• September 2023. I will have a poster for “Time-Aware Projections: Truly Node-Private Graph Statistics under Continual Observation” (joint work with Palak Jain and Adam Smith) at TPDP 2023.
• August 2023. Sílvia Casacuberta, Isaac Robinson, and I gave a talk on “Augmenting Fairness with Welfare: A Framework for Algorithmic Justice” at Harvard’s Bridging Privacy working group.
• June 2023. “Augmenting Fairness with Welfare: A Framework for Algorithmic Justice” (joint work with Sílvia Casacuberta and Isaac Robinson) appeared at the 2023 European Workshop on Algorithmic Fairness. Sílvia and Isaac gave an in-depth talk on it.
• May 2023. I was named a Hariri Institute graduate student fellow. Thank you to Boston University’s Hariri Institute for the fellowship, and to the BU computer science department for the nomination!
• April 2023. Sílvia Casacuberta and I gave a talk at Northeastern University’s NDS2 seminar on our paper, “Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It” (co-authored with Michael Shoemate and Salil Vadhan).
Authors are in alphabetical order, as is common in some areas of computer science.
Sílvia Casacuberta, Michael Shoemate, Salil Vadhan, Connor Wagaman.
• Finite-Precision Arithmetic Isn’t Real: The Impact of Finite Data Types on Efforts to Fulfill Differential Privacy on Computers.
Senior thesis, Harvard University (highest honors). Advised by Professor Salil Vadhan.
• Boston University CS 330 – Introduction to Analysis of Algorithms: Fall 2023.
• Harvard CS 208 – Applied Privacy for Data Science: Spring 2022.
• Harvard CS 20 – Discrete Mathematics for Computer Science: Spring 2021, Spring 2020.