A doctorate that spans both mathematics and computer science gives Irene unusual depth across the theoretical side of CS — from graph theory and combinatorics to algorithm analysis and discrete structures. She unpacks abstract concepts like Big-O notation and recursion by grounding them in the mathematical reasoning underneath.

Currently pursuing a Master's in Computer Science at DePaul, Ignacio teaches core CS concepts — data structures, algorithms, and object-oriented design — with the perspective of someone actively working through advanced coursework. His environmental science background also means he can connect abstract computing ideas to real-world applications like data modeling and simulation.

Though English and writing are Eliza's strongest suits, her coursework in AP Computer Science Principles and coding gives her a solid handle on the conceptual side of CS — how data is represented, how algorithms are designed, and how the internet actually works. She approaches these topics the way she approaches essay structure: by teaching students to organize their thinking clearly before executing, which translates surprisingly well to debugging and program design.

From Big-O analysis to recursion to finite automata, computer science is really applied mathematical reasoning — and that's exactly where Joseph's strengths converge. His math degree at the University of Chicago gives him a rigorous foundation in the proofs and logic that underpin CS theory, while his programming experience across multiple languages keeps the practical side grounded.

Holding a bachelor's degree in computer science, Charles digs into everything from introductory programming logic to data structures and algorithm design. He emphasizes understanding why a particular approach works — tracing through loops, recursion, and memory allocation step by step — so students can debug their own thinking, not just their code.

From data structures and algorithm efficiency to the basics of how operating systems manage memory, computer science covers a huge range of concepts that build on each other fast. Daniel is pursuing his CIS degree right now, which means the material is fresh and he knows exactly where students tend to hit walls — particularly around recursion, sorting algorithms, and Big-O analysis.

Matt's computer science degree means he can walk through everything from basic control flow and data structures to algorithm analysis and object-oriented design. He teaches programming the way he learned it — by building things, breaking them, and understanding why the fix works.

From data structures and algorithms to object-oriented design, Muntaser covers computer science fundamentals with the perspective of someone who uses them daily as a software engineer. His two years as a university-level Java TA sharpened his ability to explain concepts like recursion, linked lists, and sorting in ways that click on the first pass rather than the fifth.

I am a Molecular Engineering major at the University of Chicago, I am currently taking time off to focus on other aspects of my career but I don't want to stop tutoring outside college campus!. I am a child of immigrants and have spent my life tutoring my siblings and younger students, and I loved working with them! See y'all in class!

As a Ph.D. student in Computational and Applied Mathematics at the University of Chicago, with a Bachelor's in Mathematics from MIT, I am passionate about making mathematics accessible and engaging for all learners. My experience as a teaching assistant for calculus courses has honed my ability to design effective problem sets and lead dynamic recitations, while also providing personalized support through office hours and one-on-one tutoring. I specialize in subjects such as Algebra I & II, AP Calculus, Differential Equations, and Linear Algebra. I strive to create a supportive learning environment where students feel comfortable asking questions and exploring concepts. My teaching philosophy centers on patience, encouragement, and tailored lessons that align with each student's unique goals and learning style. I am dedicated to helping students build both their mathematical skills and their confidence, ensuring they can tackle challenges with a sense of accomplishment.

I am a second-year student at the University of Michigan-Ann Arbor and I am in the College of Engineering. I am not exactly sure as to what I want to do after College, but I do know that I would like to do something that involves Physics, Chemistry, and Computer Science. In High School, I would teach/tutor elementary school students at a tutoring center in Chicago called Ivy Garden. I tutor many High School Math and Science subjects (including AP courses) as well as Math and Science test prep for the ACT. My favorite subjects to tutor are Calculus and Physics because they are applicable with many things in your daily life. I am inspired to tutor those who are struggling in Math and Science courses because people are very discouraged while studying these subjects and I feel that, with the proper instruction, not only will people get better at those subjects; but they will become more confident in themselves. I believe that understanding something conceptually is ten times more valuable than knowing how to use an equation and I like using real world examples when I am tutoring. On my free time I enjoy playing NBA 2K and actual basketball.