Teaching

I teach courses in programming, data analytics, and open-source software development in Syracuse University’s School of Information Studies, and lead hands-on research-computing workshops through the Open Source Program Office. I have also taught physics and given lectures on gravitational-wave astronomy.

Materials for my courses and workshops are linked below.

Courses

IST 400/600 Open Source Software Development Practicum

Fall 2026

Syracuse University

Students contribute to open-source projects while learning the tools and practices of modern software development: environments, Git and GitHub, continuous integration, documentation, packaging, and licensing.

Course website

IST 356 Programming Techniques for Data Analytics

Fall 2025, Spring 2026

Syracuse University

DSC 520 High Performance Scientific Computing

Spring 2023

UMass Dartmouth

PHY 113 Classical Physics I

Fall 2022

UMass Dartmouth

Workshops

OSPO Workshop: Computing 101, R, and Python

Summer 2025

Git & GitHub, Bash, and Conda · Syracuse University

Workshop website

OSPO Workshop: Computing 101 and R

Winter 2025

Git & GitHub · Syracuse University

Workshop website

OSPO Workshop: Advanced Python

December 2024

Object-oriented programming in Python · Syracuse University

Materials (GitHub)

OSPO Workshop: Computing 101 and Python

August 2024

Introduction to Bash, Conda, and Git & GitHub · Syracuse University

Lectures and tutorials

PyCBC Inference tutorial: standard IMR, ringdown, and hierarchical parameter estimation

December 2025

GWPAW, Georgia Tech

Bayesian Inference in Gravitational-wave Astronomy

2025

NP3M Summer School, Indiana University

Physics of Gravitational-wave Emission and Detection

2021

57th Karpacz Winter School of Theoretical Physics, Poland

Bayesian inference & PyCBC

2020

Statistical Methods for the Detection, Classification, and Inference of Relativistic Objects, ICERM, Brown University (online)

Bayesian inference with PyCBC