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Claudia V. Roberts

Computer Science Ph.D. Student

About Me

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.

Education

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

Publications

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.

Posters & Presentations

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.

Teaching

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