Teaching

Approach

I teach computer science by training how engineers think through structured problem-solving, debugging intuition, and applied reasoning in real-world systems.

My instruction emphasizes:

• Breaking complex systems into clear reasoning steps
• Connecting theory to production engineering workflows
• Guiding students toward independent problem-solving over rote memorization

Students learn not only how to write code, but how to reason through ambiguity, communicate tradeoffs, and design systems that are reliable beyond the classroom.

Courses Taught

University of Delaware

Introduction to Computer Science II (CISC 181)

Instructor · Summer ’20, ’21

Teaching Assistant · Spring ’21, ’23 · Instr. Katie Wassil

(Problem decomposition, algorithm design, structured reasoning)

Computers, Ethics and Society (CISC 355)

Instructor · Summer ’22

Teaching Assistant · 2019–2021 · Dr. T. Gregory Lynch

(System impact, ethical reasoning, responsible AI)

General Computer Science for Engineers (CISC 106)

Teaching Assistant · 2018–2020 · Instr. Katie Wassil

(Programming fundamentals, debugging strategies, applied problem-solving)

Data Structures (CISC 220)

Teaching Assistant · Spring ’20 · Dr. Debra Yarrington

(Data modeling, algorithm efficiency, system design)

West Chester University

Advanced Topics in Security (CSC 495 / CSC 583)

Teaching Assistant · Fall ’17 · Dr. Si Chen

(Vulnerability analysis, threat modeling, adversarial thinking)

Responsibilities

Instructor

• Designed and delivered lectures, assignments, and course materials
• Led classroom instruction and course direction
• Developed original projects and evaluation frameworks

Teaching Assistant

• Led lab sessions and reinforced lecture material
• Mentored students in programming and data structures
• Provided detailed feedback through grading and office hours

Research Experience

Software Analysis and Compilation Lab (SAC)
Research Assistant · 2021–2024 · University of Delaware
Advisor: Lori Pollock

• Conducted research on conversational agents for supporting structured problem-solving in computer science education
• Investigated LLM-guided reasoning approaches (CoT, few-shot, RAG) for guiding user interaction and Socratic learning
• Published peer-reviewed work at ICSE and ITiCSE, demonstrating effectiveness in controlled educational settings and informing the design of structured AI systems

Community & Outreach