Hi! I'm Anna, an Instructor for Intermediate Microeconomic Theory (ECN 312) at Arizona State University and a PhD candidate in Economics with 7+ years of tutoring experience in math and economics. I bring both classroom teaching expertise and advanced academic credentials to help students master both subjects.
I currently teach ECN 312 at ASU while pursuing my PhD in Economics, where I also earned my M.S. in Economics (2022). I was a visiting student at NYU (Spring 2025) and hold dual B.A....
Hi! I'm Anna, an Instructor for Intermediate Microeconomic Theory (ECN 312) at Arizona State University and a PhD candidate in Economics with 7+ years of tutoring experience in math and economics. I bring both classroom teaching expertise and advanced academic credentials to help students master both subjects.
I currently teach ECN 312 at ASU while pursuing my PhD in Economics, where I also earned my M.S. in Economics (2022). I was a visiting student at NYU (Spring 2025) and hold dual B.A. degrees in Economics from the New Economic School and Higher School of Economics (2021). My doctoral coursework includes rigorous training in calculus, real analysis, and advanced mathematical methods alongside PhD-level microeconomics, macroeconomics, and econometrics. I've received multiple academic awards recognizing excellence in economic theory and quantitative analysis.
Beyond my current instructor position, I have 7+ years of tutoring experience from middle school through undergraduate levels, plus additional teaching roles as a Teaching Assistant for Environmental Economics and Microeconomics Principles (2022–2024), and 4 years of high school teaching experience.
My approach focuses on identifying foundational gaps and building toward complex concepts through clear intuition and structured problem-solving. I contextualize problems so students see how topics connect, helping them gain lasting confidence and independence.
Subjects I specialize in:
• Microeconomics — optimization, elasticity, game theory, market structure
• Econometrics & Data Analysis (R, Stata, Python) — from regression to research-level modeling
• International Trade & Macroeconomics — gravity models, open-economy macro, policy analysis
• Mathematics for Economics — calculus, linear algebra, real analysis
• GRE Quantitative Reasoning — strategies to reach 165–170
My goal is to help students not only prepare for exams, but also appreciate the logical beauty of mathematics and economics.