Liv G. d'Aliberti

Cubicle Facing a Wall

Friend Center

Princeton, NJ, 08544

I am a Computer Science Ph.D. student at Princeton University, advised by Ben Eysenbach and affiliated with the Princeton Reinforcement Learning (RL) Lab. My research focuses on the algorithmic development of efficient reinforcement learning algorithms to train flexible and robust agents.

Prior to starting my Ph.D., I worked as a research scientist at Leidos in their CTO Office Artificial Intelligence & Machine Learning Accelerator. I earned my Master of Science in Applied Mathematics and Statistics in 2019.

I enjoy working with individuals who are passionate about their research and excited about the potential impacts of their efforts. I’m hopeful that technology built using the research that my research colleagues and I develop will help make our world (and maybe other worlds) safer and better for humans.

I really like all cats and one dog, my wife’s cavapoo. In my spare time, I like hiking, backpacking, skiing, and going on adventures to new places.

news

Aug 01, 2024	Start my Computer Science Ph.D. at Princeton University!

latest posts

Jan 07, 2025	Improved Analysis - Cryptography and Advanced Algorithm Design
Dec 30, 2024	Why I left my great job to become a Ph.D. student

selected publications

Explainability for Unmanned Aerial Vehicle Control via Multi-Objective Reinforcement Learning

C. Clark, K. Albarado, J. Scott, and 3 more authors

IEEE Aerospace, 2025

Pre-print

Bib

@article{clark2024uav_control,
  title = {Explainability for Unmanned Aerial Vehicle Control via Multi-Objective Reinforcement Learning},
  author = {Clark, C. and Albarado, K. and Scott, J. and Bernard, C. and Wilson, J. and d’Aliberti, L.},
  journal = {IEEE Aerospace},
  year = {2025},
  note = {Pre-print},
}

Preserving Patient Privacy during Computation over Shared Electronic Health Record Data

L. d’Aliberti, and M. Clark

Springer Nature Journal of Medical Systems, 2022

DOI Bib

@article{daliberti2022privacy_preservation,
  title = {Preserving Patient Privacy during Computation over Shared Electronic Health Record Data},
  author = {d’Aliberti, L. and Clark, M.},
  journal = {Springer Nature Journal of Medical Systems},
  year = {2022},
  doi = {10.1007/s10916-022-01865-5},
}