Thomas Tran Praxis Page

Welcome! I am an engineer and researcher with a unique blend of expertise in cybersecurity, financial engineering, and machine learning. My career spans roles in financial engineering, machine learning operations, and adversarial AI red-teaming. While these domains differ their underlying principals and tools used are the same, and it's mostly statistics and probability where they overlap.

I am in the Doctor of Engineering in Cybersecurity Analytics at The George Washington University while contributing to cutting-edge research and real-world applications in reinforcement learning from human feedback (RLHF) and adversarial machine learning. My mission is to enhance AI systems' robustness and security while ensuring their alignment with human values.

Published Papers & Projects

Academic Background

  • Doctor of Engineering in Cybersecurity Analytics (In Progress, Dec. 2026)
    The George Washington University, Washington, D.C.
  • Master of Science in Financial Engineering (May 2023)
    Stevens Institute of Technology, Hoboken, NJ
  • Master of Business Administration in Finance (Dec. 2021)
    The University of Alabama at Birmingham, Birmingham, AL

Interests

  • Adversarial Machine Learning: Developing methods to detect and counteract adversarial attacks.
  • Reinforcement Learning from Human Feedback (RLHF): Aligning AI systems with human values and preferences.
  • Machine Learning: Building scalable, robust, and efficient models for practical applications.