Liv G. d'Aliberti
Computer Science Ph.D. Student at Princeton University.
Room 320C, the Messiest Cubicle
Sherrerd Hall
Princeton, NJ, 08544
Advised by Manoel Horta Ribeiro and affiliated with the Humans and Machines (HAM) Lab and Center for Information Technology Policy, I study how learned agents reason, decide, and change behavior, focusing on reliability, interpretability, and empirically grounded evaluation at scale.
- research
- Reinforcement learning
- Machine learning
- Reliable reasoning
- current threads
- Diverse reasoning
- Judgemental forecasting
- Agentic misalignment
- previous life
- Government R&D
- Privacy
- Autonomy
Prior to starting my Ph.D., I worked as a research scientist at Leidos in their CTO Office Artificial Intelligence & Machine Learning Accelerator. I am also a Lecturer in Computer Science at Johns Hopkins Engineering for Professionals, where I teach courses in modern Python software development and deep learning with PyTorch. I earned my Master of Science in Applied Mathematics and Statistics in 2019.
I really like all cats and one dog, my wife’s cavapoo. When I’m offline, I’m usually hiking, backpacking, skiing, or exploring new places.
news
| Jun 17, 2026 | Workshop paper accepted at AutoRL at RLC 2026: Behavior-Consistent Deep Reinforcement Learning. |
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| May 26, 2026 | I passed my Princeton C.S. generals exam! |
| May 20, 2026 | Preprint released: Behavior-Consistent Deep Reinforcement Learning. |
| Apr 06, 2026 | Paper accepted to Findings of ACL: The Illusion of Insight in Reasoning Models. |
| Mar 26, 2026 | Patent published: HOLOGRAPHIC GRAPH TRANSFORMER NETWORK (HGTN) SYSTEM AND METHOD. |