Chris Yi
Meet Christopher Yi – Expert Computer Science & Mathematics Tutor
Christopher is a skilled Software Engineer Educator and Magna Cum Laude graduate of George Mason University. With a 3.8/4.0 GPA in Computer Science and hands-on experience as both a university Teaching Assistant and a Mathnasium Instructor, Christopher specializes in Computer Science, Programming, and K-12 Mathematics. He excels at breaking down complex technical concepts for students of all abilities, from elementary math learners to college-level programmers.
Areas of Expertise
Computer Science & Programming: Expert proficiency in Java, C, Python, and Assembly (x86/MIPS). Christopher can guide students through foundational coding principles, data structures, algorithms, and systems architecture.
K-12 Mathematics: Experienced in teaching the full spectrum of school math, from elementary arithmetic through Calculus. He is adept at identifying gaps in student understanding and adapting curricula to bridge those gaps.
Test Prep & Academic Support: Proven ability to rearticulate complex course materials and assist with code review, refactoring, and project planning.
Software Engineering Tools: Knowledgeable in modern development tools like Git, Docker, Linux, and SQL, offering practical industry insights for aspiring tech students.
Teaching Philosophy
"I believe that every student learns differently, and my goal is to make complex concepts accessible to everyone. My approach involves rearticulating curriculum materials to suit individual needs and reframing 'difficult' topics into manageable steps. Whether I'm leading a university recitation or a small math group, I focus on identifying a student's unique strengths and weaknesses to build confidence and mastery. I don't just teach the 'how'; I help students understand the underlying logic so they can solve future problems on their own."
What Makes Christopher Special
Dual-Level Educator: Unique experience teaching both university-level computer science students and K-12 math students, giving him a versatile teaching range.
Magna Cum Laude Graduate: Graduated with high honors (3.8 GPA) in Computer Science, demonstrating top-tier mastery of his subject.
Adaptable Methodologies: Experience with "Agile/Kanban" workflows in software projects translates into a structured, goal-oriented approach to tutoring sessions.
Project Leadership: Served as project lead on multiple complex software engineering projects, providing him with the leadership skills to guide students through their own academic projects.
Education & Achievements
B.S. in Computer Science, George Mason University (May 2023)
Magna Cum Laude, GPA 3.8/4.0
Relevant Coursework: Data Structures, Algorithms, Data Mining, Secure Programming.
Undergraduate Teaching Assistant, George Mason University
Led weekly recitations and provided office hours for Computer Systems & Programming.