Abigail O'Neill

👋 Hello! I’m a Computer Science PhD student at UC Berkeley, advised by Professor Narges Norouzi and Professor Joseph Gonzalez. I'm currently interested in how AI–AI interactions shape the design and optimization of future communication systems and enable application-driven AI development.


In the past, I've worked on graph neural networks, self-supervised pretraining, and robotic manipulation with many inspiring researchers. Between undergrad and grad school, I was also fortunate to spend time at Google DeepMind and AMD Research.

Profile photo of Abby ☀️

Research

Full list of publications on my Google Scholar.

Fine-tuning Robotics Vision Language Action Models with AMD ROCm and LeRobot

Abigail O'Neill, Sarunas Kalade, Ken O'Brien, Graham Schelle
AMD ROCm Blogs, 2025

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Modeling Student Knowledge Progression Across Concepts in Intelligent Tutoring Interactions

Kanav Mittal*, Abigail O'Neill*, Hanna Schlegel, Gireeja Ranade, and Narges Norouzi
26th International Conference on Artificial Intelligence in Education (AIED), 2025
(* denotes equal contribution; alphabetical order)
Best Paper Award Nominee

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Tree Genus Classification from GPS-Registered Aerial Imagery

Sandeep Mukherjee, Abigail O'Neill, Tianshuang Qiu, Shrey Aeron, Tomson Qu, Simeon Adebola, Sara Beery, Jonathan Huang, Ken Goldberg
The 11th Workshop on Fine-Grained Visual Classification, CVPR, 2024

MANIP: A Modular Architecture for Integrating Interactive Perception for Robot Manipulation

Justin Yu*, Tara Sadjadpour*, Abigail O’Neill, Mehdi Khfifi, Lawrence Chen, Richard Cheng, Muhammad Zubair, Ashwin Balakrishna, Thomas Kollar, Ken Goldberg
IEEE International Conference on Robots and Systems (IROS), 2024
(* denotes equal contribution)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Open X Embodiment Collaboration et al.
IEEE International Conference on Robotics and Automation (ICRA), 2023
Best Paper Award

Teaching and Outreach

2025 Data Science and AI Fellow at the DLAB. If you are a Berkeley student, check out upcoming workshops!
2024 Teaching Assistant, Data 100 for the Data Scholars Program
2023 Tutor, Data 8: Foundations of Data Science
Lead Director, CS Kickstart 2023
2022 Lead Director, CS Kickstart 2022