CV

Ph.D. in Computer Science

• Advised by Manoel Horta Ribeiro.
• Affiliated with the Humans and Machines Lab and Princeton CITP.

M.S. in Applied Mathematics and Statistics

B.A. / B.S. in History (Honors) and Mathematics

• Minor in Economics.

Ph.D. Student

• Researching reliable, interpretable, and empirically grounded AI reasoning and decision-making.
• Current work focuses on learned-agent behavior, reinforcement learning stability, and behavioral consistency.

Senior AI/ML Researcher

• Led and contributed to AI/ML research programs across reinforcement learning, autonomy, privacy-enhancing technologies, and explainable decision-making.
• Helped transition internal research into customer-funded projects.
• Supported intern program development and research team growth.

Data Analyst

• Developed analytics workflows for campaign-based marketing data.

Behavior-Consistent Deep Reinforcement Learning

The Illusion of Insight in Reasoning Models

Grounded-Retrieval Adversarial Imitation Loop

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

Preserving Patient Privacy during Computation over Shared Electronic Health Record Data

Deep Learning Developments with PyTorch

• Instructor for Spring, Summer, and Fall 2025; Spring, Summer, and Fall 2026.

Modern Software Concepts in Python

• Instructor for Summer and Fall 2024; Summer and Fall 2025; Spring, Summer, and Fall 2026.

Introduction to Programming

• Instructor for Spring, Summer, and Fall 2023; Summer and Fall 2024.

Computer Vision (COS 429)

• Teaching Assistant with Prof. Olga Russakovsky.

Teaching Assistant

• Teaching assistant in the Department of Mathematics and Statistics.
• Data Mining, one semester.
• Computational Mathematics, two semesters.

Learning Machine Behavior: Measuring Exploration, Stability, and Alignment in Learned Agents

Lecturer Profile

M.S. Alumni Profile

Leidos CTO Office Purple Dollar Award

Leadership, Excellence in Integrity - Rising Star

Holographic Graph Transformer Network (HGTN) System and Method

• {"Inventors"=>"Joshua P. Wilson, Jackson D. Scott, Christian A. Clark, Bryce E. King, Olivia Galliker d'Aliberti."}
• {"Applicant"=>"Leidos, Inc."}
• {"Filed"=>"September 24, 2025."}
• {"Published"=>"March 26, 2026."}

System and Process for Securing Client Data During Federated Learning

• {"Inventors"=>"Olivia Galliker d'Aliberti, Evan Michael Gronberg."}
• {"Applicant"=>"Leidos Inc."}
• {"Filed"=>"June 12, 2024."}
• {"Published"=>"December 12, 2024."}