Joshua S. Speagle

(沈佳士)

Statistical AI for Cosmic Discovery

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Talks & Events

Presentations, panels, and public engagement across academia and beyond

Presentations, panels, and public engagement across academia and beyond

AI for Scientists: Learning and Doing in the Era of VLMs

Invited Talk
Language AI in the Space Sciences Baltimore, USA

Learning and Doing Physics and Astronomy in the Age of AI

Colloquium
Wellesley College: Physics & Astronomy Colloquium Wellesley, USA

Astro-Statistical Learning and Uncertainty Quantification

Invited Talk
CFE-CMStatistics 2025: Starstruck Statistics London, UK

A Conceptual Introduction to Deep Learning

Seminar
Cambridge: Astrophysics Data Science Seminar Cambridge, UK

A Conceptual Introduction to Deep Learning

Seminar
University of Vienna: Astronomy & Astrophysics Seminar Vienna, Austria

A Conceptual Introduction to Deep Learning

Seminar
MPIA: Data Science Seminar Heidelberg, Germany

A Conceptual Introduction to Deep Learning

Seminar
UC Berkeley: BIDMAP Seminar Berkeley, CA

A Brief History of Time MCMC in Astronomy

Invited Talk
The Fast and Curious 2: MCMC in Action Toronto, Canada

Bayesian Parameter Estimation and Model Selection Problems in Astrophysics

Invited Talk
Bayes Comp 2025 Singapore

A Conceptual Introduction to Deep Learning

Tutorial
Penn State: Summer School in Statistics for Astronomers (2025) Virtual

Nested Sampling: Past, Present, and Future

Tutorial
Penn State: Summer School in Statistics for Astronomers (2025) Virtual

A Conceptual Introduction to Deep Learning

Seminar
Penn State University: Department of Astronomy and Astrophysics Seminar State College, PA

"Why should I believe you?" "Because I am an Astrophysics Foundation Model."

Colloquium
KIPAC Stanford: Astrophysics Colloquium Stanford, CA

Q: Why should I believe you? A: Because I am an Astrophysics Foundation Model

Colloquium
CCA Flatiron Institute: Colloquium New York, NY

Trust Me, I am an Astrophysics Foundation Model

Colloquium
Tsinghua University: Astrophysics Colloquium Beijing, China

Host

Event Host
Astronomy on Tap (Toronto) Toronto, ON

AI SpAI with My (Little?) AI: Applications of Statistical Learning in Modern Astrophysics

Invited Talk
AstroAI Summer Workshop Cambridge, MA

Nested Sampling: Past, Present, and Future

Tutorial
Penn State: Summer School in Statistics for Astronomers (2024) Virtual

I Spy with my (Little?) AI: Applications of Statistical Learning in Modern Astrophysics

Seminar
Ohio State University: CCAPP Seminar Columbus, OH

Panel on inductive biases and interpretability

Panelist
NeurIPS 2023: Workshop on Machine Learning and the Physical Sciences New Orleans, LA

SBI++: Extending Simulation-Based Inference to Censored and Out-of-Distribution Data

Contributed Talk
Banff International Research Station: Astrostatistics in Canada and Beyond Banff, AB

The Role of AI in Modern Astrophysics

Public Talk
Christie Gardens Apartments & Care (Toronto) Toronto, ON

Nested Sampling: Past, Present, & Future

Seminar
University of Guelph: Math & Stats Seminar Guelph, ON

Astrostatistical Thinking in Machine Learning Applications

Seminar
Université de Montréal: Astrophysics Seminar Montreal, QC

Nested Sampling: Past, Present, and Future

Seminar
Carnegie Mellon University: STAMPS Seminar Pittsburgh, PA

From Panchromatic Images to Stellar Ages and Beyond

Seminar
University of Pittsburgh: Astronomy Seminar Pittsburgh, PA

Machine Learning for Star Cluster Science (with Steffani Grondin)

Tutorial
2023 ESO Conference: Two in a million – The interplay between binaries and star clusters Garching, Germany

A machine-learning led search for extra-tidal stars of globular clusters

Poster
2023 ESO Conference: Two in a million – The interplay between binaries and star clusters Garching, Germany

Uncertainty and Interpretability in Machine Learning Models

Invited Talk
NSF IAIFI Summer Workshop Boston, MA

Extending Statistical Thinking to ML Applications

Seminar
Center for Astrophysics | Harvard & Smithsonian: AstroAI Seminar Cambridge, MA

Rapid Stellar Parameter Inference with Probabilistic Machine Learning

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

Connecting Galaxy Evolution between Observation, Simulation, and Theory

Invited Paper Session
JSM 2023: True North Strong and... Amazing at Astrostatistics! (Invited Paper Session) Toronto, ON

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

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

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

Tutorial
NSF IAIFI Summer School Boston, MA

Career Panel

Panelist
NSF IAIFI Summer School Boston, MA

Musings on Nested Sampling from Interactions with Everyday Users

Invited Talk
MaxEnt 2023 Workshop: Frontiers of Nested Sampling Meeting-within-a-Meeting Virtual

Extending Bayesian Modeling Approaches to ML Applications

Invited Talk
Statistical Challenges in Modern Astronomy VIII State College, PA

Uncovering Galaxy Evolution through the Eyes of the Milky Way at the Dunlap Institute

Spotlight Talk
Dunlap Institute for Astronomy & Astrophysics: 15th Anniversary Homecoming Celebration Spotlight Talk Toronto, ON

A Tutorial of (Dynamic) Nested Sampling

Tutorial
Statistical Challenges in Modern Astronomy VIII State College, PA

From Dunlap to Diverse Careers: A Panel Discussion on Opportunities and Challenges for Astrophysics Graduates (Moderator)

Panelist
Dunlap Institute for Astronomy & Astrophysics: 15th Anniversary Homecoming Celebration Toronto, ON

Photometric Biases in Modern Surveys

Contributed Talk
Surveys to Discovery (S2D) Conference Montreal, QC

From Light to Mass and Back Again: Exploring Galaxy Evolution with 'New' Methods and 'Old' Outcomes

Contributed Talk
2023 Spring Research Conference (SRC) Banff, AB

From Panchromatic Images to Stellar Ages and Beyond

Seminar
McMaster University: Astronomy Lunch Seminar Hamilton, ON

From Panchromatic Images to Stellar Ages and Beyond

Seminar
University of Waterloo: Astroseminar Waterloo, ON

Galaxy Evolution through the Eyes of the Milky Way

Colloquium
NRC Herzberg Astronomy and Astrophysics Research Centre Victoria, BC

Galaxy Evolution through the Eyes of the Milky Way

Seminar
Queen's University: Astronomy Seminar Kingston, ON

Mapping the Milky Way from the Inside Out

Public Talk
Astronomy on Tap (Toronto) Toronto, ON

Machine Learning in Astronomy: Possibilities and Pitfall: Incorporating Errors into Machine Learning Methods

Invited Talk
IAU General Assembly 2022 Virtual

From Panchromatic Images to Stellar Ages and Beyond

Seminar
Institute for Advanced Study: Astrophysics Seminar Princeton, NJ

More Data + More Parameters = More Fun with Galaxy Evolution

Colloquium
Saint Mary's University: Department of Astronomy and Physics Colloquium Halifax, NS

Panchromatic Modelling of Co-Eval Stellar Populations

Contributed Talk
McMaster University: 2022 Clusters Workshop Hamilton, ON

Mapping the Milky Way in 5-D with Big Data

Invited Paper Session
JSM 2022: Advances in Astrostatistics in the Great White North (Invited Paper Session) Washington, DC

Machine Learning in the Era of Astronomically Big Data

Contributed Talk
Seeing the Future: A Conference in Honour of Alyssa Goodman Cambridge, MA

Data Driven Stellar Spectral Modelling with GSPICE

Poster
2022 CASCA Annual General Meeting Virtual

Mapping the Milky Way Near and Far

Seminar
CASCA: CANadian Virtual Astronomy Seminar (CANVAS) Virtual

Statistical Challenges in Stellar Parameter Estimation from Theory and Data

Seminar
IAU-IAA: Astrostats and Astroinfo Seminar Virtual

An Introduction to (Dynamic) Nested Sampling

Seminar
Saint Mary's University: Data Analytics Seminar Halifax, NS

Space bubble

Radio Interview
CBC Calgary: Calgary Eyeopener with David Gray, Angela Knight Radio Interview

An Introduction to (Dynamic) Nested Sampling

Invited Talk
UCLA IPAM: Mathematical and Computational Challenges in the Era of Gravitational Wave Astronomy Virtual

Stars, Galaxies, and Everything In-Between: Galaxy Evolution Near and Far with Large Datasets

Seminar
University of Toronto: Toronto Data Workshop Toronto, ON

Mapping the Milky Way in the Age of Gaia

Public Talk
RASC (Toronto Centre): Speaker's Night Toronto, ON

Mapping the Milky Way with Stars and Dust

Colloquium
Penn State University: Department of Astronomy and Astrophysics Colloquium University Park, PA

Understanding a Data-Rich Universe with Data-Driven Approaches (Organizer & Chair)

Panel Organizer & Chair
JSM 2021: Joint Statistical Meetings Virtual

An Introduction to Nested Sampling

Keynote Address
University of Surrey: Towards a Cross-Research Platform for Hosting Bayesian Data-Fitting Tools Virtual

Unaccounted Uncertainties: The Role of Systematics in Astrophysics

Discussant
AAS 238: Special Session (Statistics Discussant) Virtual

Mapping the Milky Way in the Age of Gaia

Public Talk
RASC (Ottawa Centre): Monthly Meeting Ottawa, ON

Deriving Stellar Properties, Distances, and Reddenings from Photometry (and Astrometry) with brutus

Poster
2021 CASCA Annual General Meeting Virtual

Cosmological Cartography with Photometric Redshifts

Seminar
University of Chicago: Kavli Institute for Cosmological Physics Seminar Chicago, IL

Mapping the Milky Way in the Age of Gaia

Seminar
CANSSI Ontario: Data Science Applied Research and Education Seminar Virtual

Enabling Data-Driven Discovery in the Milky Way and Beyond Using Large Astronomical Datasets

Colloquium
University of Florida: Department of Astronomy Colloquium Gainesville, FL

Photometric Biases in Modern Astronomical Surveys

Student Paper Award
JSM 2020: Astrostatistics Interest Group: Student Paper Award (Topic-Contributed Paper Session) Virtual

Introduction to Bayesian Inference with Linear Regression

Tutorial
Astro Hack Week 2020 Virtual

Exploring the Galaxy Near and Far in the Age of Gaia

Colloquium
Villanova University: Department of Astrophysics and Planetary Science Colloquium Villanova, PA

Charting Nearby Molecular Clouds with Gaia: A New Map of Our Local Interstellar Medium

Colloquium
Harvard University: Summer Colloquium (joint with Catherine Zucker) Cambridge, MA

Keynote participant for open-source code contributions (dynesty) in the analysis of M87* by the EHT collaboration

Keynote Participant
GitHub Satellite 2019 Berlin, Germany

Mapping the 3-D Distribution of Dust in the Milky Way with Stellar Photometry

Seminar
University of Cambridge: Data Intensive Science Seminar Cambridge, UK

Challenges Working with Posterior Distributions (with Alex Malz)

Contributed Talk
Lorentz Center: Colours of the Universe Workshop Leiden, Netherlands

Revealing the Milky Way's Dust-iny

Invited Talk
Harvard University: CMSA Big Data Conference Cambridge, MA

Dynamic Nested Sampling with dynesty

Poster
Bayes Comp 2018 Barcelona, Spain

Big Data Inference: Using Hierarchical Bayes and Machine Learning to Improve Photometric Redshifts

Seminar
UMass Amherst: Data Science Tea Amherst, MA

An Introduction to Dynamic Nested Sampling

Seminar
Harvard University: CHASC Astrostatistics Seminar Cambridge, MA

Improving Photometric Redshifts for Hyper Suprime-Cam (HSC) with Hierarchical Bayes and Machine Learning

Poster
AAS 229 Grapevine, TX

Improving Photometric Redshifts for Hyper Suprime-Cam

Contributed Talk
COSMO21 2016 Chania, Greece

Mapping, Visualizing, and Exploiting the Color-Redshift Relation

Seminar
Kavli IPMU: Astronomy Lunch Seminar Tokyo, Japan

Parallel Galaxy Main Sequence and Quasar Evolution from z=0-6 (AAS Chamblis Award Honorable Mention)

Poster
AAS 223 Washington, DC

The Evolution of Star-Forming Galaxies over Cosmic Time

Seminar
University of Tsukuba: Theoretical Astrophysics Seminar Tsukuba, Japan

An In-Depth Analysis of the Kepler Low-Amplitude Blazhko RR Lyrae Stars: First Steps and Comparing Data Reduction Methods

Poster
AAS 221 Long Beach, CA

An In-Depth Analysis of the Kepler Low-Amplitude Blazhko RR Lyrae Stars: First Steps and Comparing Data Reduction Methods

Poster
2012 KASC Meeting Balatonalmádi, Hungary

The X-ray Counterpart of the High-B Pulsar J0726-2612 (AAS Chamblis Award)

Poster
AAS 219 Austin, TX