Computational Mathematics Graduate | Passionate About Teaching an

Michael F.

Passionate about the power of mathematics to solve real-world problems, I am a Computational Mathematics graduate (B.S., GPA 3.6/4.0, Marquette University) with a Certification in Computational Tools (Mathematica, MATLAB) and preparing to begin my M.S. in Computational Mathematical and Statistical Sciences. My background blends rigorous theory with advanced computational and statistical methods, equipping me to address challenges in data analysis, modeling, and applied problem-solving.

I have tutored students at all levels—from middle and high school learners building foundations in algebra, geometry, and calculus to undergraduates navigating Numerical Methods, Linear Algebra, Probability, Mathematical Modeling, Discrete Structures, and programming for mathematical applications. My experience spans in-person and online instruction, where I adapt lessons to each student’s pace and style. Since beginning as an undergraduate tutor, I have guided students through coursework, exam preparation, and applied projects. I focus on breaking down complex material into manageable steps, using visual models, algorithmic thinking, and real-world examples to make abstract ideas clear. I have also collaborated on developing resources that support learning in computational and applied mathematics.

My approach is structured yet flexible, emphasizing clarity, confidence, and independent reasoning. I work to identify gaps, reinforce key ideas, and encourage curiosity and persistence—helping students build both understanding and long-term problem-solving skills. I enjoy making mathematics approachable and engaging and look forward to supporting your journey toward success.