Teaching

My teaching spans introductory statistics through advanced graduate courses in probability, mathematical statistics, linear models, stochastic processes, data science, and statistical consulting. At every level, the goal is the same: develop genuine mathematical understanding, not just procedural fluency. Students in my courses are expected to engage with derivations and proofs, interpret results critically, and connect theoretical foundations to real analytical problems.

I have developed and launched several courses at Syracuse University, including Statistical Computing (MAT 422), Fundamentals of Data Science (MAT 495/695), and Probability Models for Actuarial Science (MAT 528). I also regularly teach MAT 750 Statistical Consulting, in which graduate students work directly with real clients on applied analytical problems under faculty supervision.

SUPA Statistics Faculty Liaison

Since 2023 I have served as the Syracuse University Project Advance (SUPA) Faculty Liaison for Statistics, overseeing 36 sections of MAT 221/222 delivered by high school instructors across 15+ New York State school districts. In this role I coordinate instructor training through the annual Summer Institute, co-facilitate fall and spring professional development seminars, and conduct semester classroom visits at partner schools statewide.

Recent Course Schedule

Syllabi are linked where available. The department maintains a complete archive of all Math syllabi by semester.

Spring 2026

MAT 221 — Elementary Probability and Statistics I [Syllabus]
MAT 521 — Introduction to Probability [Syllabus]
MAT 525 — Mathematical Statistics [Syllabus]
MAT 750 — Statistical Consulting [Syllabus]

Fall 2025

MAT 221 — Elementary Probability and Statistics I [Syllabus]
MAT 422 — Statistical Computing [Syllabus]
MAT 495/695 — Fundamentals of Data Science [Syllabus]
MAT 654 — Linear Models [Syllabus]

Summer 2025

MAT 525 — Mathematical Statistics [Syllabus]
MAT 532 — Applied Linear Algebra [Syllabus]

Spring 2025

MAT 221 — Elementary Probability and Statistics I [Syllabus]
MAT 422 — Statistical Computing [Syllabus]
MAT 750 — Statistical Consulting [Syllabus]

Fall 2024

MAT 296 — Calculus II
MAT 292 — Calculus II Plus
MAT 286 — Life Sciences Calculus II
MAT 654 — Linear Models
MAT 528 — Probability Models for Actuarial Science

Summer 2024

MAT 526 — Introduction to Stochastic Processes
MAT 525 — Mathematical Statistics

Spring 2024

MAT 495/695 — Fundamentals of Data Science
MAT 521 — Introduction to Probability
MAT 525 — Mathematical Statistics
MAT 422 — Statistical Computing

Fall 2023

MAT 485 — Differential Equations and Matrix Algebra
MAT 221 — Elementary Probability and Statistics I

Summer 2023

MAT 526 — Introduction to Stochastic Processes
MAT 525 — Mathematical Statistics

Spring 2023

MAT 526 — Introduction to Stochastic Processes
MAT 525 — Mathematical Statistics
MAT 422 — Statistical Computing
MAT 750 — Statistical Consulting

Fall 2022

MAT 296 — Calculus II
MAT 221 — Elementary Probability and Statistics I

Summer 2022

MAT 525 — Mathematical Statistics

Spring 2022

MAT 521 — Introduction to Probability
MAT 526 — Introduction to Stochastic Processes
MAT 525 — Mathematical Statistics
MAT 121 — Probability and Statistics for the Liberal Arts I
MAT 122 — Probability and Statistics for the Liberal Arts II

Full Course List at Syracuse University

Graduate: Multivariate Methods (755), Statistical Consulting (750), Fundamentals of Data Science (695), Statistical Computing/Simulation (653), Linear Models (654), Actuarial Mathematics (528), Stochastic Processes (526), Mathematical Statistics (525), Mathematical Probability (521)

Undergraduate: Fundamentals of Data Science (495), Statistical Computing (422), Linear Algebra & Differential Equations (485), Probability Models for Actuarial Science (528), Calculus sequences (285/286, 295/296/292/397), Intro. Probability & Statistics (221/222, 121/122)