Experience & Education

Education

Penn State University

Ph.D. Computer Science & Engineering
2024 - Present

  • SEI Doctoral Scholarship Recipient (2024)
  • Research focus: Neurosymbolic Learning, XAI, Interpretable AI, and Adversarial Machine Learning

Carnegie Mellon University

M.S. Information Security, Policy and Management
Graduated: May 2021

  • Teaching Assistant for Cryptography (95-745)

Kent State University

B.S. DSci Software Development, Minor: Computer Science
Graduated: December 2018

Professional Experience

Software Engineering Institute, Carnegie Mellon University

Associate Software Developer
Current Position

  • Leading research in interpretable AI and adversarial machine learning
  • Developing techniques for concept-level interpretability in deep learning models
  • Contributing to open-source frameworks for ML security research

Software Engineering Institute, Carnegie Mellon University

Software Developer Intern
Previous Role

  • Worked on computer vision applications for tactical environments
  • Contributed to data pipeline development for ML models

Software Engineering Institute, Carnegie Mellon University

Cybersecurity Intern
Previous Role

  • Contributed to research on blockchain security
  • Assisted with cryptographic implementation analysis

Carnegie Mellon University

Teaching Assistant - Cryptography (95-745)

  • Assisted with course instruction and student support
  • Led sessions on blockchain technology and cryptographic principles

Paragram

Front-End Developer

  • Developed responsive web applications
  • Implemented user interface designs and interactive features