CV

Graduate Teaching Assistant

Course: Human Factors in Cybersecurity

• Lead selected lectures on human-centered cybersecurity topics, including usable security, privacy, authentication, phishing, and secure software development.
• Mentor student research projects that apply large language models (LLMs) to real-world cybersecurity and human-factor challenges.
• Support course instruction, student discussions, assignments, and project evaluation.

Graduate Teaching Assistant

Course: Software Security

• Assisted in teaching software security concepts and supported student learning through hands-on exercises and assessments.

Graduate Teaching Assistant

Course: Introduction to Programming with Java

• Guided students in computational thinking, structured programming, and problem-solving using Java.
• Tutored students on core programming concepts including conditional statements, loop-based iteration, and data structures like arrays.
• Supported student learning by providing hands-on exercises and assessments.

Graduate Teaching Assistant

Course: Circuits and Electro-Mechanical Components

• Assisted in teaching circuits and electronic fundamentals.
• Guided students in hands-on labs and projects, including designing, constructing, and testing circuits using Arduino.
• Helped students develop skills in the analysis, design, and testing of circuits, sensors, and microcontrollers.

Graduate Teaching Assistant

Course: Computer Organization

• Assisted in teaching computer organization fundamentals, including computer components, digital logic, and processing elements.
• Guided students in understanding CPU communication methods, processor and memory architecture, and RISC-V instruction set architecture.
• Introduced performance-enhancing techniques like pipelining, cache systems, and parallel processing.

Graduate Teaching Assistant

Course: Data Science Engineering with Python

• Delivered assessments and tutorials on data cleaning, restructuring, analytics best practices, and traditional machine learning for graduate students.
• Tutored 100+ graduate students in data analysis and Python scripting; aided professor with course content evaluation and design.
• Mentored students on individual assignments and group projects, helping improve grades by at least 10%.

IT Enabling Functions eDiscovery Co-op

Boehringer Ingelheim

• Developed mobile and tablet versions of an information-integrated application using Power Apps; managed user engagement analytics and provided guidelines for user interaction.
• Built a scalable database of ETL processes using MongoDB and SSIS; ingested data from multiple sources using SQL and Power BI to create data views.
• Prepared question lists and arranged meetings with 50 different data source system leaders to collect information on data history, migration timelines, and Legal Hold status.
• Designed the new SLA Matrix Mind Map and updated Non-Custodial, Custodial, and M365 Mind Maps; wrote review guidelines and formulated reminders for monthly review.

PhD

University of Tennessee

Computer Science

Master of Science

Northeastern University

Information Systems

Bachelor of Science

Indiana University Bloomington

Business Economics Public Policy & Technology Management

What the Eyes See, the LLMs Miss: Exploiting Human Perception for Adversarial Text Attacks

35th USENIX Security Symposium (USENIX Security '26)

We present human-perceptible adversarial attacks that exploit the gap between human perception and LLM-based content moderation.