Computer Science Ph.D. Student
I am a first-year Ph.D. student at Princeton University, advised by Professor Arvind Narayanan. My research interests include recommendation systems, machine learning, and algorithmic bias.
Before going back to graduate school, I worked at Apple, Inc. for four years as a software engineer.
I am a National Defense Science & Engineering Graduate (NDSEG) Fellow, a Siebel Scholar, and a GEM Fellow.
Princeton University, currently pursuing Ph.D. in Computer Science
Princeton University, M.S.E. in Computer Science, 2018
Stanford University, B.S. in Computer Science, 2012
Claudia V. Roberts. "Friend Request Pending: A Comparative Assessment of Engineering and Social Science Inspired Approaches to Analyzing Complex Birth Cohort Survey Data" Socius: Sociological Research for a Dynamic World 2018.
George Kadianakis, Claudia V. Roberts, Laura M. Roberts (my sister!), and Philipp Winter. "'Major Key Alert!' Anomalous Keys in Tor Relays," Financial Cryptography & Data Security 2018.
Poster Presentation: "Quantifying the Extent to Which Popular Pretrained Convolutional Neural Networks Implicitly Learn High-Level Protected Attributes," Black in AI and Women in Machine Learning workshops co-located at the 32nd Conference on Neural Information Processing Systems (NeurIPS 2018)
Conference Talk: "Managing 3D Assets with Model I/O," Apple's World Wide Developers Conference (WWDC) 2015.
Conference Talk: "AirPrint Technologies Framework," WWDC 2014.
Course Assistant, COS 534: Fairness in Machine Learning, Spring 2018
Course Assistant, EGR 491: High-Tech Entrepreneurship, Fall 2017
Course Assistant, EPICS: K-12 Computer Science Mentors, Fall 2017
Course Assistant, COS 448: Innovating Across Technology, Business, and Marketplaces, Spring 2017, won Princeton's Graduate Teaching Assistant Award