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CMU MS/NYU Math PhD student, tutoring college-level math
Robert T.

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Hourly Rate: $90

About Robert


Bio

Hey, I'm Robert! I received my BS and MS in Mathematical Sciences from CMU (after initially starting as a chemical engineer), and am currently a PhD student at the NYU Courant Institute of Mathematical Sciences, studying mathematics – my specialty is fluid mechanics, studying the properties of differential equations which arise in fluid-dynamical situations. I absolutely love teaching, having TA'd six times as a CMU undergrad in all sorts of courses: introductory proofs (twice), to vector...

Hey, I'm Robert! I received my BS and MS in Mathematical Sciences from CMU (after initially starting as a chemical engineer), and am currently a PhD student at the NYU Courant Institute of Mathematical Sciences, studying mathematics – my specialty is fluid mechanics, studying the properties of differential equations which arise in fluid-dynamical situations. I absolutely love teaching, having TA'd six times as a CMU undergrad in all sorts of courses: introductory proofs (twice), to vector calculus geared towards CS majors, to honors linear algebra, to proofy multivariable calculus, to honors real analysis, putting up to 20 hours a week into optimally teaching discussion sections, writing practice exams, and grading exercises. From this experience, I’ve learned a great deal about what works for students learning difficult, abstract concepts in mathematics or engineering.

The name of the game is conceptual motivation first; with a strong conceptual foundation, even the most tedious computations in calculus, linear algebra, or ODE can be done swiftly and efficiently with the knowledge that one knows what they are doing. Towards this, I write extremely detailed lesson plans for the courses I tutor, emphasizing large-scale motivation and intuition while still being perfectly rigorous and precise; see my multidimensional calculus notes online for a good example. The notes / lesson plans I make are specially designed with plenty of concrete examples and exercises to reinforce student learning. This all being said, active learning is key to make this work: no class I teach is quiet. Indeed, I encourage students to ask questions whenever possible – I’m always willing to go with the flow and work with parents and students for what they need most.

I ultimately hope to get my students to find both abstract and applied mathematics as engaging as I do! If you have any further questions, feel free to message me. I look forward to hearing from you!


Education

Carnegie Mellon University
Mathematics
Carnegie Mellon University
Masters
NYU Courant
Enrolled

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Approved Subjects

AMC (Competition math)

AMC (Competition math)

I have written and graded problems for the Carnegie Mellon Informatics and Mathematics Competition in from 2023-25, and was a Problem Writing Head for the tournament in 2024. I also write problems for an undergraduate-level math tournament known as ICMT (Intercollegiate Math Tournament). Point being, I know the tools necessary for success in competition math, and I know how to convey them well.
Chemical Engineering

Chemical Engineering

I started my undergraduate education in chemical engineering, before later switching to math as I didn't have much motivation for actual engineering problems. That being said, I still enjoyed the chemical engineering sciences a good deal – material balances, thermodynamics, fluid mechanics and transport phenomena. For this reason, I am very comfortable tutoring those specific topics within ChE.
Real Analysis

Real Analysis

I wrote my master's thesis in real analysis, and I have tutored / TAed for both honors and non-honors real analysis courses multiple times at CMU. Real analysis is the foundation of everything I do as a mathematician. In teaching analysis, I emphasize conceptual understanding – it's a beautiful field when understood in the right way.
Calculus
Differential Equations
Linear Algebra
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