Joshua S. Speagle

(沈佳士)

Statistical AI for Cosmic Discovery

Teaching Philosophy

I believe in hands-on learning that connects theoretical concepts to real-world applications. My courses emphasize computational skills, critical thinking, and the ability to communicate complex ideas clearly.

Teaching History

AST424 Introduction to Astrophysical Research

Undergraduate Astronomy

Research methods and project-based learning in astrophysics

Terms Taught:
Fall 2025 Full Year 2023-2024

STA437 Methods for Multivariate Data

Undergraduate Statistics

Practical techniques for multivariate data analysis including dimensionality reduction, classification, and inference

Terms Taught:
Winter 2026

STA130 Introduction to Statistical Reasoning and Data Science

Undergraduate Statistics

Foundational course in statistical thinking and data analysis

Terms Taught:
Winter 2024 Winter 2023

AST3101 Module: Ethics and Practice in Astronomy

Graduate Astronomy

Research ethics and professional practice in astronomy

Terms Taught:
Winter 2024 Winter 2022

JAS1101 Introduction to Astrostatistics

Graduate Astronomy Statistics

Statistical methods for astronomical research

Terms Taught:
Winter 2022 (partial) Fall 2022

AST3101 Module: Introduction to Sampling

Graduate Astronomy

Advanced sampling techniques in astronomical data analysis

Terms Taught:
Fall 2021

Short Courses & Workshops

Bayesian Inference

Workshop

University of Toronto Statistical Sciences Research Program (UTSSRP) — Toronto, ON

Dates:
Jun 2026

A Conceptual Introduction to Deep Learning

Workshop

Penn State: Summer School in Statistics for Astronomers — Virtual

Dates:
Jun 2025

Nested Sampling: Past, Present, and Future

Workshop

Penn State: Summer School in Statistics for Astronomers — Virtual

Dates:
Jun 2025 Jun 2024

Machine Learning for Star Cluster Science (with Steffani Grondin)

Workshop

2023 ESO Conference: Two in a million — Garching, Germany

Dates:
Sep 2023

Dimensionality Reduction: Applications to Star Cluster Science (with Steffani Grondin)

Workshop

University of Michigan: 2023 Clusters & Streams Workshop — Ann Arbor, MI

Dates:
Aug 2023

Uncertainty and Interpretability in Machine Learning Models (with Alex Gagliano)

Workshop

NSF IAIFI Summer School — Boston, MA

Dates:
Aug 2023

A Tutorial of (Dynamic) Nested Sampling

Workshop

Statistical Challenges in Modern Astronomy VIII — State College, PA

Dates:
Jun 2023

Introduction to Bayesian Inference with Linear Regression

Workshop

Astro Hack Week 2020 — Virtual

Dates:
Aug 2020