The following is a partial list of subjects I have taught privately since 2010.

**Harvard**

Math 19A, Modeling and differential equations for the life sciences

Math 19B, Linear algebra, probability, and statistics for the life sciences

Math 21A, Multivariable calculus

Math 21B, Linear algebra and differential equations

Math 22A, Vector calculus and linear algebra 1

Math 22B, Vector calculus and linear algebra 2

Math 23C, Mathematics for computation, statistics, and data science (with R)

Physics 12a, Mechanics from an analytic, numerical, and computational perspective

CS 50, Introduction to computer science (with C, Python, JavaScript)

Ec 10a, Microeconomics

Ec 10b, Macroeconomics

Ec 1123, Introduction to econometrics (with Stata)

Eng Sci 150, Probability with engineering applications

Eng Sci 151, Applied electromagnetism

Eng Sci 155, Systems and control (with MATLAB)

Eng Sci 156, Signals and communications (Fourier theory)

Eng Sci 280, Systems engineering

Stat 104, Introduction to quantitative methods for economics (with Stata)

Stat 109, Introduction to statistical modelling

Stat 110, Probability

Stat 111, Introduction to statistical inference

Stat 139, Linear models

BMIF 315QC, Computational statistics for biomedical sciences (graduate)

**MIT**

18.02, Multivariable calculus

18.03, Differential equations

18.06, Linear algebra

18.062 / 6.042, Mathematics for computer science

18.600, Probability and random variables

15.454, Financial mathematics (graduate)

8.01, Mechanics

8.02, Electricity and magnetism

**Stanford**

CS 109, Probability for computer scientists

CME 100, Vector calculus for engineers

Phil 150, Mathematical logic

**University of Cambridge**

E100, Microeconomics (graduate)

E101, Applied microeconomics (graduate)

E300, Econometric methods (graduate, with Stata)

**University of California, Berkeley**

Statistics for data science (graduate)

**Brandeis University**

CS 130, Theory of computation

**Boston University**

Phil 360/633, Symbolic logic

Ma 213, Basic statistics and probability

Ma 225, Multivariable calculus

Ma 226, Differential equations

Ma 242, Linear algebra

Ma 293, Discrete mathematics

Ec 505, Elementary mathematical economics (graduate)

Ec 508, Econometrics (graduate)

Qm 221, Probabilistic and statistical decision making for management

**King’s College, University of London**

Introduction to philosophy of language

**Northwestern University**

Math 300, Foundations of higher mathematics

**Boston College**

Math 1004, Finite probability and applications

Econ 2228, Econometric methods (with Stata)

**Northeastern** **University**

Math 2321, Calculus 3 for science and engineering

Math 2331, Linear algebra

Math 3081, Probability and statistics

Math 4581, Statistics and stochastic processes

Math 5050, Advanced engineering calculus with applications

**Suffolk University**

Stats 250, Applied statistics

**Bentley University**

Ec 282, Introduction to econometrics (with Stata)

Ma 214, Intermediate applied statistics

Ma 243, Discrete probability

Ma 252, Regression analysis

Ma 352, Mathematical statistics

**Babson College**

QTM 2000, Case studies in business analytics

QTM 3610, Applied multivariate statistics

ECN 3620, Econometrics