Award-Winning Algebra Tutors
serving New York, NY

When a student stares at a system of equations and sees only letters, Mimi reframes the problem visually — graphing lines, sketching relationships, making the algebra represent something real. Her Dartmouth and Harvard training in learner-centered education means she adapts her explanations to match how each student processes abstract reasoning.

Before anyone can tackle statistics or calculus, the algebraic machinery has to be solid — manipulating expressions, solving systems, reasoning about functions. Nina regularly diagnoses algebra gaps in her older students and knows exactly which skills (factoring, rational expressions, exponent rules) cause the most downstream trouble. Her 5.0 rating speaks to how effectively she rebuilds that confidence.

A PhD in Computational Mathematics from the University of Chicago means Justin doesn't just teach algebra — he built an entire research career on top of it, from image processing algorithms to climate models that start with the same variable manipulation and equation-solving students encounter in class. He's especially good at unpacking why a technique like completing the square or distributing across parentheses works mechanically, drawing on the physicist's habit of never accepting a step without understanding the logic underneath. Rated 5.0 by students.

A lot of algebra frustration comes from word problems: translating a real-world scenario into an equation feels like learning a second language. James approaches these translations systematically, teaching students to identify variables and relationships before writing a single symbol. His chemistry background at Harvard means he's constantly converting real situations into mathematical models, and he brings that same structured thinking to algebra.

The jump from arithmetic to algebra trips students up when variables start feeling like random letters instead of meaningful unknowns. Sherry tackles this by connecting equation-solving and graphing to real scenarios, building the kind of algebraic reasoning that carries through to higher math. Her background in linguistics gives her a knack for translating word problems into clear mathematical expressions.

Before students can tackle engineering-level math, they need algebra to feel automatic — manipulating expressions, solving systems, and reasoning about functions without second-guessing each step. Jai breaks down these mechanics clearly, drawing on the rigorous mathematical training he built at Stanford's EECS program.

Meghan approaches algebra the way she approaches a news story: break the problem into pieces, identify what you know, and solve for what you don't. She's especially effective at translating word problems into equations, a skill her journalism training made second nature. Rated 5.0 by students.

A solid grip on algebra is what separates students who coast through later math and science from those who struggle, and Josef zeros in on the manipulation skills that matter most — factoring, working with rational expressions, and translating word problems into solvable equations. His science background at Cornell means he's constantly reinforcing algebraic thinking with real examples rather than abstract drills.

The jump from arithmetic to algebra trips up a lot of students right at the point where variables start replacing numbers — suddenly "solve for x" feels like a different language. Zosia tackles that transition by connecting each algebraic rule to concrete examples, whether it's distributing terms across parentheses or setting up equations from word problems.

Sometimes the best person to explain algebra is someone who thinks carefully about how language works. Sash, a Princeton-trained comparative literature major, approaches equations and inequalities as logical statements to decode — breaking down variables, factoring, and systems of equations into clear steps that make sense rather than feel like arbitrary rules.

Jennifer approaches algebra the way she approaches writing: by teaching students to see the underlying structure before worrying about the mechanics. Whether it's solving systems of equations or simplifying rational expressions, she emphasizes understanding why each step works so the process sticks beyond the next test.

Richard has been tutoring algebra since high school, working with students from elementary through high school levels, and continued sharpening his teaching at Harvard as a math department course assistant. He breaks down concepts like systems of equations and polynomial factoring by connecting each new idea to what a student already understands. That scaffolded approach makes abstract symbolic manipulation feel far less intimidating.

I am an entrepreneurial travel-loving media professional living in New Orleans. I have a Master in Business Administration from Tulane University and I love teaching all sorts of subjects, especially math. In terms of hobbies, you can find me long-distance running, studying data science, exploring new restaurants and traveling the world.

Biology majors don't usually get credit for their algebra skills, but Garrett's coursework in physiology and microbiology required constant fluency with rearranging equations — dilution formulas, enzyme kinetics, dosage calculations — all of which demand clean variable manipulation under pressure. He brings that applied algebra instinct to teaching, especially when it comes to translating word-heavy scenarios into solvable equations. His 1530 SAT confirms the quantitative chops behind the approach.

Vivian treats algebra as a language — once students understand what an equation is actually saying, manipulating expressions and solving systems becomes intuitive rather than mechanical. Her background in test prep means she's seen every way algebra gets tested, from straightforward factoring to tricky word problems that disguise simple relationships.

Factoring, systems of equations, and quadratic functions each require a different kind of problem-solving instinct, and Vansh teaches students to recognize which approach fits before they start writing. His 35 ACT and 1550 SAT reflect the kind of algebraic fluency he now passes along — efficient strategies paired with genuine understanding of why each method works.

One thing that separates a confident algebra student from a struggling one is whether they can translate a word problem into an equation without freezing. Michelle zeroes in on that translation skill — teaching students to identify variables, set up relationships, and check their logic before solving. She covers everything from linear systems to quadratic factoring, but always anchors the work in understanding rather than rote steps.

Most algebra struggles aren't really about algebra — they're about a fraction rule or a sign error hiding underneath. Ayako digs into those root issues while teaching topics like systems of equations, quadratic factoring, and slope-intercept form, so students stop making the same mistakes on every new problem type. Her well-rounded teaching background across math and test prep means she connects algebraic skills to where students will actually use them next.

A lot of algebra struggles come down to one thing: students learn procedures without understanding what a variable actually represents or why an equation balances. Matthew's approach starts with that conceptual layer — visualizing what's happening when you isolate x or factor a quadratic — before locking in the mechanics. His interdisciplinary background at Stanford gives him a knack for connecting algebraic ideas to real scenarios that make them stick.

Two years of math tutoring at Stuyvesant High School taught Brian that most algebra mistakes aren't careless — they come from shaky understanding of what an equation actually means. He zeroes in on the reasoning behind techniques like factoring, solving systems, and manipulating inequalities so that students can set up and solve problems independently instead of hunting for a formula to mimic.

Most algebra mistakes aren't random; they come from shaky understanding of one key idea, like how variables represent quantities or why distribution works the way it does. Judah diagnoses exactly where the confusion starts and rebuilds from there, whether a student is stuck on solving multi-step equations or graphing linear inequalities.

Christopher approaches algebra as a language with its own grammar — variables, expressions, and equations follow rules that make sense once you see the underlying logic. His 1550 SAT score reflects deep comfort with algebraic reasoning, from factoring polynomials to solving systems of equations. He's especially effective at translating word problems into mathematical setups that students can solve with confidence.

A lot of Algebra frustration comes from students memorizing steps for factoring or solving systems without understanding what those operations actually do. Emma tackles that head-on by teaching the reasoning behind each method — why you set expressions equal to zero, what a solution really represents on a graph. Her scientific background at Harvard trained her to think in terms of relationships between variables, which is exactly what Algebra is.

Stanford's economics program means Julia is constantly rearranging equations, isolating variables, and solving systems — algebra isn't a standalone subject for her, it's the language she uses to model everything from consumer behavior to market equilibria. She's particularly good at teaching students how to translate word problems into clean algebraic setups, a skill sharpened by years of building economic models from scratch. Rated 4.8 by students.

Seven years of math tutoring means Camille has seen nearly every way a student can get stuck on factoring, systems of equations, or quadratic functions — and she's developed clear strategies for each. Her approach emphasizes translating word problems into algebraic expressions, a skill that trips up even strong math students. She holds a 5.0 client rating.

A solid grip on algebra — manipulating expressions, solving systems, understanding how variables relate — is the foundation for every math and science course that follows. Tony approaches each topic by connecting it to concrete problems, whether that's balancing chemical equations or interpreting data, so the reasoning behind each step stays clear.

The jump from arithmetic to algebra trips students up because suddenly letters replace numbers and equations need to be manipulated, not just solved. Natalie tackles this by teaching students to read an equation like a sentence — identifying what's unknown, isolating variables, and checking whether an answer makes sense. She's especially good at slowing down on word problems, where translating English into algebra is half the battle.

The jump from arithmetic thinking to algebraic thinking — using variables, manipulating expressions, solving systems — trips up more students than any single topic. Bina's analytical training in Philosophy, Politics & Economics makes her especially sharp at teaching students to think structurally about equations rather than just hunting for a number to circle.

Gerard approaches algebra as a language for modeling real situations, not just a set of procedures to memorize. His government and business background means he's constantly translating word problems — systems of equations, inequalities, linear models — into decisions, which gives students a reason to care about the mechanics.

A solid grasp of variables, expressions, and linear equations opens every door in STEM — something Kelly learned firsthand across two Cornell degrees and a Tufts master's in biomedical engineering. She tackles the sticking points that trip students up, like translating word problems into equations or working through factoring, by grounding each concept in logical steps rather than rote shortcuts.

When a student says they "don't get algebra," Samantha digs into whether the real issue is translating word problems, manipulating expressions, or understanding what a variable actually represents. Pinpointing that distinction changes everything. Her approach turns abstract symbol-shuffling into logical steps students can reproduce on their own.

Whether it's factoring trinomials or solving systems of equations, Johann connects each algebraic technique back to what it actually means — not just the steps to get an answer. That emphasis on understanding over procedure is part of why he's rated 5.0 by students across his math subjects.

A methodical thinker who studied across disciplines at Northwestern, Chelsey tackles algebra by connecting abstract variables to concrete reasoning — whether it's solving systems of equations or simplifying rational expressions. She treats each problem as a puzzle with a narrative, which makes the logic behind algebraic manipulation feel less mechanical.

Solving for x is straightforward until word problems, systems of equations, or quadratic functions demand that students translate situations into symbols. Moriah approaches algebra by making that translation process explicit — teaching students to set up problems methodically before ever reaching for a formula. Her prep school teaching experience and 5.0 rating reflect a knack for making abstract notation feel concrete.

A lot of algebra frustration comes from word problems: translating a real situation into an equation feels like guesswork without a clear method. Stephanie teaches a systematic approach to setting up variables and relationships, a skill she sharpened through years of computational science coursework where modeling real problems mathematically was the entire point.

Solving equations and simplifying expressions are mechanical skills, but knowing when to apply them — in word problems, inequalities, or systems — requires a different kind of thinking. Lyall teaches students to read algebra problems like arguments, identifying what's being asked before deciding on a strategy. His experience coaching high school debate sharpened that same skill of breaking complex prompts into their component parts.

The jump from arithmetic to algebra trips students up because suddenly letters replace numbers and equations demand strategic thinking. Esther tackles this by connecting algebraic manipulation — distributing, factoring, solving systems — to concrete scenarios that make the abstraction feel purposeful. Her economics training at Penn means she's constantly using algebra in applied contexts.

Engineering physics at Cornell means Daniel solves algebra problems before breakfast — rearranging kinematic equations, isolating variables in circuit models, substituting across systems — so the mechanics of algebraic thinking are second nature. He zeroes in on the "why" behind each step, especially when students hit walls with distributing, combining like terms, or translating word problems into expressions. Rated 5.0 by students.

A Harvard graduate with an SAT score of 1500, Matthew brings clear, structured thinking to algebra topics like systems of equations, quadratic functions, and polynomial factoring. He walks students through each problem type step by step, making sure they understand the reasoning well enough to handle unfamiliar variations on their own.

Most algebra struggles come down to one thing: students can follow a procedure but can't set up the problem themselves. Sarah tackles that gap directly, teaching how to translate word problems into equations and how to recognize which technique — factoring, substitution, graphing — fits a given situation. She holds a 5.0 rating from her students.