Award-Winning Microeconomics Tutors
serving Lancaster, 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.

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!

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.

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.

Supply and demand curves are just the starting point — Zeeshan digs into the mechanics behind consumer choice theory, price discrimination, and market structures like oligopoly and monopolistic competition. His PhD research at Vanderbilt keeps him immersed in microeconomic modeling daily, so he can unpack concepts like elasticity or game theory with real-world precision.

Marginal cost curves, consumer surplus, and game theory matrices can feel abstract until someone shows you the math driving each one. Rahi tackles microeconomics by walking through the calculus behind optimization — profit maximization, utility functions, price discrimination — so students can solve problems confidently instead of memorizing graph shapes.

Marginal cost curves and consumer surplus diagrams start making sense once someone explains the decision-making logic underneath them. Jay approaches microeconomics from his background as an econ major, unpacking topics like market failures, production functions, and elasticity by first asking what a rational actor would actually do in a given scenario — then showing how the math and graphs formalize that reasoning.

Elasticity, marginal cost curves, game theory matrices — microeconomics is deceptively math-heavy for a social science. Ryan earned his bachelor's degree in economics and tackles micro by grounding every graph and equation in the real-world decision it represents, so students can reason through unfamiliar problems on exams instead of relying on memorized steps.

Reading The Economist for fun is one thing — Mark actually digs into the microeconomic logic underneath the headlines, connecting how firms price goods or respond to regulation back to the models students see in class. His bioengineering grad work is heavily quantitative, so he's comfortable walking through the calculus behind profit maximization or cost minimization problems that trip up students in intermediate micro.

From elasticity calculations to the nuances of monopolistic competition, microeconomics requires students to think graphically and verbally at the same time. David breaks down each market structure by walking through the firm's decision-making process step by step — where marginal cost meets marginal revenue, why profits shrink in the long run, and what happens when assumptions change. His entrepreneurship background means these aren't hypothetical firms to him.

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.

Marginal cost curves, consumer surplus, and price discrimination can feel like a pile of disconnected graphs until someone ties them back to how actual firms make decisions. Frank connects microeconomic theory to the real market behavior he analyzed during his years as a Wall Street research executive, making concepts like market structure and deadweight loss intuitive rather than abstract.

The math behind microeconomics — setting up Lagrangians for constrained optimization, deriving demand from utility functions, finding equilibrium prices algebraically — is where most students hit a wall. Thomas's math and stats training at Carleton means he can teach both the economic intuition and the calculus simultaneously, so a concept like profit maximization isn't just "set MC equal to MR" but a problem a student can actually solve and interpret. Rated 5.0 by students.

Pursuing a PhD in economics means Jacob isn't just passing through microeconomics — he's building a career on it, with the mathematical rigor from his joint math studies to back it up. He teaches students to think through models like a researcher would, connecting the intuition behind consumer choice or firm behavior to the calculus that formalizes it. Rated 5.0 by students.

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.

The jump from basic supply-and-demand to consumer theory, production functions, and market structures trips up a lot of students because the math and the intuition have to work together. Eric unpacks each model — indifference curves, marginal cost pricing, game theory matrices — by tying the algebra back to the economic story it tells. His Business Administration training gives him a practical lens on how firms actually make these decisions.