Award-Winning Microeconomics Tutors
serving Allentown, PA

Mary's PhD in Chemistry from the University of Chicago means she spent years doing the kind of constrained optimization and quantitative modeling that microeconomics relies on — minimizing costs, maximizing outputs, interpreting how variables shift on a graph. She pairs that analytical rigor with MBA coursework that gave her direct exposure to firm behavior, pricing strategy, and market dynamics. It's a combination that lets her teach both the calculus behind profit maximization and the business logic that makes it meaningful.

Indifference curves, marginal utility, and producer surplus can feel like a pile of disconnected graphs until someone shows you the thread running through them. Patrick's economics degree gave him deep fluency with microeconomic reasoning, and he walks students through each model step by step — from setting up the optimization problem to interpreting what the answer actually means in a market context.

Howdy! My name's Joey, I love all things music and tech as well as hitting the gym. I hold degrees in mechanical and aerosapce engineering as well as scientific computing from the University of Glasgow and University of Pennsylvania. I've been an instructor and TA at both institutions and I greatly enjoy sharing knowledge!

I'm a graduate of Robert Morris University where I earned my BSBA in Economics and Finance. After graduating from RMU I attended Johns Hopkins University where I earned my MA in Applied Economics. My interests lie in the fields of banking, energy, healthcare, and public policy.

Running his own financial planning firm for nearly a decade meant Daniel watched microeconomic principles play out in real time — how clients responded to price changes, how small businesses navigated cost structures, and why incentive misalignment could sink a deal. His Master's in Public Policy, focused on energy markets, adds another layer: he teaches concepts like externalities, market failures, and price elasticity through the lens of industries where those forces have measurable, high-stakes consequences.

The jump from understanding a basic supply-and-demand graph to analyzing consumer surplus, deadweight loss, and firm behavior in different market structures trips up a lot of students. Shua studied these models extensively during his economics degree and breaks them down by walking through the intuition behind each curve before touching any math. That approach turns intimidating problem sets into logical step-by-step exercises.

Supply and demand curves, elasticity, and consumer surplus can feel like abstract puzzles until a student sees how they explain everyday pricing decisions. Walter approaches microeconomics by connecting each model to concrete scenarios — why concert tickets get scalped, how minimum wage affects local hiring — drawing on his social studies teaching instincts to make the graphs meaningful.

As an applied economics major at Tufts, Lauren digs into microeconomic models — supply and demand curves, elasticity, market structures, game theory — with the analytical rigor her coursework demands. She breaks down graphs and mathematical relationships so students understand the intuition behind concepts like consumer surplus and deadweight loss, not just how to label a diagram.

I'm a college student at Saint Vincent College in Latrobe, Pennsylvania. I am in my junior year of a computer science degree. Outside of classes, I work as a college tour guide, IT technician, and camp counselor. I love working with young people to plan for and achieve success, especially as it pertains to test and college prep. I have been working with young people from an early age, at summer camps, church groups, and as a part of my college's admissions department. I am ready to adapt to every student's unique learning styles and habits, and I hope to see my work inspire a boost in performance and confidence for many.

A math degree means Alex can handle the calculus-heavy side of microeconomics — constrained optimization, deriving demand functions, working through Lagrangians for utility maximization — but his economics and macroeconomics teaching keeps him grounded in the intuition behind those tools. He unpacks why a firm's cost structure leads to specific pricing behavior, connecting the algebra to the economic story so students aren't just solving for x without knowing what x means.

I am a West Chester East High School class of 2015 alumni. I currently attend Boston College, majoring in Economics and Mathematics. I am very excited for the opportunity to tutor and help students with their academics. I have a history of tutoring in my high school and look forward to furthering my tutoring career by helping as many students as I can.

I am a current undergraduate student at Temple University majoring in Mathematical Economics and minoring in Finance. I have over a year of professional tutoring experience, and I am certified to tutor a wide range of subjects in mathematics, economics, and test prep.

Elasticity, marginal utility, and market structures like oligopoly and monopolistic competition each require a different way of thinking — and Grant's economics degree gave him deep fluency with all of them. He breaks down consumer and producer theory using concrete examples, making the graphs and equations feel like tools rather than obstacles.

David's sociology research at Columbia and Chicago trained him to model how individuals make decisions under constraints — which is exactly what microeconomics formalizes with utility functions, budget lines, and optimization problems. His computer science background adds fluency with the quantitative side, from setting up cost minimization equations to interpreting the slopes of indifference curves. Rated 4.9 by students.

Cole's master's thesis at the University of Amsterdam focused on monetary policy and banking — work that required building up from micro-level foundations like how individual banks optimize lending decisions and how interest rate changes ripple through firm behavior. That research depth means he can teach concepts like price discrimination, cost minimization, and strategic interaction with the kind of precision that comes from having used them analytically, not just memorized them for an exam. Rated 5.0 by students.

Consumer optimization, cost curves, and market structure problems all follow a logic that becomes predictable once you see the underlying math clearly. Marshall approaches microeconomics by walking through the calculus and graphical reasoning together, so students understand not just where the profit-maximizing quantity lands but why. His Northwestern economics training keeps the explanations rigorous without making them inaccessible.

Cognitive science trained Amanda to think about how people make decisions under constraints — which is essentially what microeconomics formalizes with models of consumer choice, firm behavior, and resource allocation. She breaks down the reasoning behind concepts like utility maximization and market equilibria by connecting them to the decision-making frameworks she studied at Northwestern, making the abstract logic behind the graphs feel grounded and intuitive.

Supply and demand curves are just the starting point — Hari digs into elasticity, marginal utility, and market structures like oligopoly and monopolistic competition to show how firms actually make pricing decisions. His MBA in Finance gives him real-world context for concepts like cost curves and profit maximization that textbooks often present too abstractly. Rated 5.0 by students.

At UCLA, Christopher studied economics with a double major that gave him both the quantitative models and the historical context behind how markets actually develop — useful when explaining why perfectly competitive markets rarely exist or how government intervention reshapes incentive structures. His time at Deutsche Bank adds a practical dimension to topics like firm pricing behavior and cost analysis, since he's seen how businesses weigh marginal decisions with real money on the line.

With an applied math degree and PhD-level engineering work, Professor Florence tackles microeconomics from a deeply quantitative angle — the kind that makes optimization problems, constrained utility maximization, and cost function analysis feel like natural extensions of calculus rather than foreign territory. She teaches the mathematical machinery behind economic models so students understand what they're solving, not just how to push symbols around on an exam.

An International Economics degree gives John a real-world framework for teaching microeconomic concepts like elasticity, market structures, and consumer choice theory — not just as textbook abstractions but as tools for analyzing actual markets. His legal training adds a practical edge when covering topics like externalities, regulation, and game theory, since he can walk through how these ideas play out in policy and case law.

Elasticity, consumer surplus, market structures, deadweight loss — microeconomics is full of concepts that seem intuitive until you're asked to graph them or solve for equilibrium mathematically. Hans pairs his Northwestern economics training with a knack for walking through the algebra behind the graphs, making sure students understand both the visual and quantitative sides of each model. He holds a 5.0 rating.

Marginal cost curves, elasticity calculations, and market structure models can blur together without a clear framework for when each tool applies. Dylan's policy analysis training required him to use microeconomic models to evaluate everything from healthcare markets to environmental regulation, so he teaches these concepts through the lens of actual decision-making. Students leave sessions understanding not just how to solve the problem set but why firms and consumers behave the way the models predict.

Supply and demand curves are just the entry point — the real challenge in microeconomics is applying them to problems involving market structures, consumer choice, and externalities. Adi's economics training means he can walk through the intuition behind utility maximization or Nash equilibrium without losing students in the math, or without skipping it entirely.