Award-Winning Microeconomics Tutors
serving New Haven, CT

Sami earned his economics and computer science degrees at Duke, then moved into management consulting and corporate finance before starting his MBA at Yale — so when he teaches concepts like profit maximization under different market structures or strategic pricing in oligopolies, he's drawing on decisions he's actually watched firms make. That blend of academic rigor and industry experience makes the leap from textbook models to problem-set application much smoother.

Supply and demand curves are just the starting point — microeconomics gets interesting when students dig into elasticity, market structures, and game theory, where intuition alone stops working. Patrick's MBA training grounds his teaching in real business decision-making, so concepts like marginal cost pricing and consumer surplus connect to actual firm behavior rather than staying abstract on a whiteboard.

I'm currently a PhD student in economics at Yale University. I also have a BS in physics and math from Yale. Other subjects I enjoy are history, geography, and philosophy, and I dabble in photography and baking. I enjoy helping people understand tricky concepts and solve challenging problems, academic and otherwise.

I am a freshman at Yale University. I am majoring in computer science, and my other interests include economics and history. I have experience tutoring in an Algebra 1 classroom. I edited essays and tutored students in general subject in my high school's Literacy Resource Center. I also have privately tutored calculus. In college, I am a teaching assistant for a program that teaches middle and high school girls to code.

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.

The jump from understanding supply and demand to tackling consumer surplus, deadweight loss, and game theory is where most microeconomics students struggle. Neil breaks these concepts down using the same analytical framework he relied on as an investment analyst — evaluating trade-offs, marginal costs, and strategic behavior in real markets. His 5.0 rating speaks to how well that approach translates to the classroom.

Marginal cost curves, elasticity calculations, and market structure comparisons all click faster when a student understands the logic driving them. Joshua approaches microeconomics the way he approaches philosophical arguments: by questioning assumptions, tracing cause and effect, and making sure every step in the reasoning actually holds up.

Consumer choice theory, production functions, game theory matrices — microeconomics piles up models fast, and each one has its own set of assumptions students need to track. Bowen tackles this by diagnosing exactly which models a student already grasps and which ones need rebuilding from the ground up, keeping sessions focused instead of re-covering familiar territory.

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.

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.

Consumer choice theory, production functions, and market structures like oligopoly all require students to think in graphs and marginal terms simultaneously. Idara's engineering management training at Stanford built exactly that kind of analytical fluency, and her finance career keeps her sharp on how firms actually make the pricing and output decisions microeconomics describes.