Economics and quantitative methods
I teach economics, statistics, econometrics, programming, and research design. My work ranges from foundational instruction to advising doctoral researchers and executives on empirical design, analysis, and communication.
I also tutor econometrics, statistics, Stata, Python, and SQL, and coach research design.
Wyzant rating 5.0 of 5 · more than 1,035 platform-recorded hours as of August 2026 · Wyzant profile
Open course · September 2026 development edition
An introduction to econometrics, with derivations, worked examples, and exercises on identification and inference.
Graduate course · first edition
Fifteen lectures from stationary processes and ARMA models to state-space models, cointegration, and conditional volatility, with complete derivations, lecture summaries, worked practice, three semester projects, and executable code in R, Julia, and Python.
Begin with lecture 1 →Lecture summaries →Working handbook · three completed chapters
Foundation chapters on economic questions and interventions, measurement, and observation clocks. Passages are marked at four reading levels, from concrete orientation to complete proofs, and each chapter's calculations run independently in Python, Julia, and R.
Read chapter 1 →Institutional teaching record
Instructor of record and teaching assistant at Georgia Tech, graduate teaching assistant at Indiana University, teaching support in Duke's Global Executive MBA program, and online instruction for Campus / MTI College.
Departmental teaching award
Teaching evaluations
Percentile ranks of student ratings for my instruction, as instructor and as teaching assistant, within Georgia Tech's School of Economics (PDF, three pages).
Instructor of record and teaching assistant
Instructor of record for three economics semesters. Additional service as a teaching assistant in Economics and as a member of the inaugural Graduate Teaching Fellow cohort, including curriculum design and orientation leadership.
Teaching support
Supported instruction in managerial economics, strategy, and global markets.
Graduate teaching assistant
Supported undergraduate economics instruction while completing graduate training in economics.
Online instructor
Taught Principles of Microeconomics in Summer and Fall 2022 and Principles of Macroeconomics in Spring 2023.
Independent practice · August 2026
Wyzant hours and additional private-practice hours are recorded separately.
platform-recorded · Public Wyzant profile
1,035+More than 1,035 hours, current as of August 2026. Public profile ↗
practice-recorded · Private-practice ledger; learner identities withheld
≈1,000Nearly 1,000 additional hours, separate from Wyzant.
Subjects include economics, statistics, econometrics, research design, Python, SQL, Stata, data analysis, finance, marketing analytics, strategy, policy, GIS, and quantitative test preparation.
Sessions booked through this site run 60 minutes over Zoom. If we have not worked together, the first booking is a 20-minute intro call about the subject, your goals, and how sessions would work. Wyzant students schedule their lessons on Wyzant. Book a 20-minute intro call →
Probability, estimation, uncertainty, diagnostics, and clear interpretation.
Estimands, comparison design, causal inference, robustness, and research communication.
Data work, analysis, reproducible workflows, and research computing.
Consumer and producer theory, markets, incentives, game theory, and policy applications.
Growth, business cycles, monetary and fiscal policy, and open-economy analysis.
Managerial economics, finance, quantitative marketing, and decision analysis.
Spatial reasoning, remote sensing, QGIS, policy data, and geographic evidence.
Research-design coaching
We work on the research question, study design, data, analysis, and interpretation. The starting point depends on what you have already done and where you need help.
Identify the decision, claim, or scholarly contribution the analysis needs to inform.
Define the population, treatment or exposure, outcome, time frame, and quantity of interest.
Test whether the available data match the question and document the construction.
Choose a credible comparison and name the threats that could defeat it.
Plan diagnostics, robustness checks, and reproducible computation before interpreting output.
State the result, uncertainty, scope, and limit in language suited to the audience.
Live teaching demonstration
The same demand relationship in words, algebra, a table, a graph, and code.
Question
Change the price. All five representations update from the same demand curve, so their agreement is easy to check.
At $20, buyers demand 50 units. One more dollar reduces quantity by two units along this curve.
| Price | Quantity | Revenue |
|---|---|---|
| $20 | 50 | $1,000 |
price <- 20
quantity <- 90 - 2 * price
revenue <- price * quantity
# quantity: 50
# revenue: 1000At $20, quantity demanded is 50 units, revenue is $1,000, and point elasticity is −0.80.
Durable learning systems
The portfolio focuses on generalized public tools and books. Learner-specific work remains private.
Practice · diagnostics · worked explanations
Choose a course and topic, work through questions, and review explanations. The course directory covers introductory economics, economic theory, econometrics, and applied fields.
Start practicing →Browse courses and topics →Instructor workspace →Living book · open data lab
A book on causal inference and the logic of quantitative evidence, built from questions, assignment mechanisms, estimands, and evidence. Its public data lab lets readers inspect, plot, filter, and download the rows.
Open the book and data lab →Project record →Live public system · version 0.1
One complete two-group inference workflow, with a synchronized question, data, derivation, diagnostics, interpretation, and implementations in JavaScript, Python, R, and Julia.
Open the system and least-squares lab →Book and workbook in progress
With Elizaveta Gonchar. A visual route into estimators, sampling variation, and causal comparisons; Part One, chapters 1–10, drafted as of August 14, 2026.
Project record →Statistics · econometrics · economics · calculus
Probability distributions and test power, the classical assumptions of least squares, supply and demand, macroeconomic growth and policy models, calculus, and experiments in econometric reasoning.
Distribution Lab →The seven classical assumptions of OLS →Market Mechanics Lab →Macroeconomics suite →Calculus in motion →Econometrics experiments →Open supporting resources
Public notes, examples, and reference material organized around reusable concepts and workflows.
Browse public learning projects →Teaching and coaching inquiries
I am available for institutional teaching, curriculum and learning-system work, advanced tutoring, and quantitative research-design coaching. For tutoring or coaching, it helps if a first message names the subject, level, timeline, and kind of help you need.
Ask about teaching or coachingView the full teaching record →Book a 20-minute intro call →