Award-Winning Microeconomics Tutors
serving Baltimore, MD

I am a rising college sophomore who will be attending Duke University on a full merit scholarship in the fall. I love to run cross country and play the viola, as well as tutoring students in a whole variety of subjects! Feel free to message me!

I am a senior at Duke University studying Economics and Public Policy. I am passionate about finding specific strategies that work for each individual student, drawing on my broad experience across math and the humanities.

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.