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Ph.D. Student

Princeton RL Lab

Researching reinforcement learning and machine learning ethics.

• Reinforcement Learning
• Privacy-Preserving Machine Learning

Senior AIML Researcher

Leidos Inc

Led AI/ML research projects and contributed to major corporate initiatives.

• C4ISR Graph-based Reinforcement Learning System
• Privacy Enhancing Technologies
• Intern Program Management
• Principal Investigator for various AI/ML initiatives

Data Analyst

Model B

Developed data analytics platforms for campaign-based marketing data.

Ph.D.

Princeton University

Computer Science

M.S.

Georgetown University

Mathematics & Statistics

B.A. & B.S.

Georgetown University

History (Honors) & Mathematics

BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption

Proceedings on Privacy Enhancing Technologies (PoPet 2025)

Pre-print on federated learning and encryption techniques.

Large Language Model Inference over Confidential Data Using AWS Nitro Enclaves

AWS Machine Learning Blog

Utilizing AWS Nitro Enclaves for confidential data inference.

Privacy-Enhancing Technologies for AI Systems: A Tutorial

10th ACM International Workshop on Security and Privacy Analytics (IWSPA 2024)

Tutorial on privacy-enhancing technologies for AI systems.

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

IEEE Aerospace

Pre-print publication on explainability in reinforcement learning.

Leidos Researchers Compete to Develop the Best Unmanned Surface Vessel Models

Leidos Insights Blog

Highlighting competitions for unmanned surface vessel models.

Privacy-Enhancing Technologies: Protecting Data In Use

Leidos Insights Blog

Discussion on protecting data in use with privacy-enhancing technologies.

Enabling Fully Homomorphic Encryption with Amazon SageMaker Endpoints for Secure, Real-Time Inferencing

AWS Machine Learning Blog

Implementation of homomorphic encryption with SageMaker.

Hyperdimensional Computing Encoding Schemes for Improved Image Classification

IEEE 2022 International Symposium on Technologies for Homeland Security

Exploration of hyperdimensional computing encoding schemes.

Preserving Patient Privacy during Computation over Shared Electronic Health Record Data

Springer Nature Journal of Medical Systems

Explores privacy-preserving techniques for EHR data.

Pre-Endoscopic Intubation for Emergent GI Bleeding Associated With Increased Adverse Outcomes

The American Journal of Gastroenterology

Analysis of adverse outcomes from pre-endoscopic intubation.

Effects of a Resident-Led Subject Exam Review on Mean Scores of Internal Medicine Subject Exam: A Case-Control Study

Med. Scie. Edu.

Study on the effects of resident-led reviews on exam performance.

Leidos CTO Office Purple Dollar Award

Leidos

Received for successful transition of internal research to customer-paid projects.

Leadership, Excellence in Integrity: Rising Star

Leidos Annual Achievement Award

Recognized for leadership potential.