Speaking & outreach

Talks & Events

Presentations, panels, and public engagement across academia and beyond.

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

Language AI in the Space Sciences · Baltimore, USA · Invited Talk

Invited Talks

A Brief History of Time MCMC in Astronomy

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

Invited Talks

A Conceptual Introduction to Deep Learning

UC Berkeley: BIDMAP Seminar · Berkeley, CA · Seminar

Colloquia & Seminars

Results

How AI has taken over the world and what it means for science

SETI Institute: Introduction to Artificial Intelligence Workshop (SSAIL) · Mountain View, USA · Invited Talk

Invited Talks

Adaptive 'Frasian' Inference under Data-Prior Conflict

STAMPS@CMU Workshop 2026 · Pittsburgh, USA · Invited Talk

Invited Talks

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

Language AI in the Space Sciences · Baltimore, USA · Invited Talk

Invited Talks

Astro-Statistical Learning and Uncertainty Quantification

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

Invited Talks

A Brief History of Time MCMC in Astronomy

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

Invited Talks

Bayesian Parameter Estimation and Model Selection Problems in Astrophysics

Bayes Comp 2025 · Singapore · Invited Talk

Invited Talks

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

AstroAI Summer Workshop · Cambridge, MA · Invited Talk

Invited Talks

Uncertainty and Interpretability in Machine Learning Models

NSF IAIFI Summer Workshop · Boston, MA · Invited Talk

Invited Talks

Musings on Nested Sampling from Interactions with Everyday Users

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

Invited Talks

Extending Bayesian Modeling Approaches to ML Applications

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

Invited Talks

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

IAU General Assembly 2022 · Virtual · Invited Talk

Invited Talks

An Introduction to (Dynamic) Nested Sampling

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

Invited Talks

An Introduction to Nested Sampling

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

Invited Talks

Revealing the Milky Way's Dust-iny

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

Invited Talks

What exactly are we doing?

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

Colloquia & Seminars

A Deep Dive into Data-Driven Astrophysics

UC San Diego: Astronomy & Astrophysics Colloquium · La Jolla, USA · Colloquium

Colloquia & Seminars

What the *** are we doing? (or: why do we do research?)

UC San Diego: SMASH (AI x Physical Sciences) Seminar · La Jolla, USA · Seminar

Colloquia & Seminars

AI x Astrophysics

University of Toronto: 2nd Colloquium on Applications of AI · Toronto, ON · Colloquium

Colloquia & Seminars

Learning and Doing Physics and Astronomy in the Age of AI

Wellesley College: Physics & Astronomy Colloquium · Wellesley, USA · Colloquium

Colloquia & Seminars

A Conceptual Introduction to Deep Learning

Cambridge: Astrophysics Data Science Seminar · Cambridge, UK · Seminar

Colloquia & Seminars

A Conceptual Introduction to Deep Learning

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

Colloquia & Seminars

A Conceptual Introduction to Deep Learning

MPIA: Data Science Seminar · Heidelberg, Germany · Seminar

Colloquia & Seminars

A Conceptual Introduction to Deep Learning

UC Berkeley: BIDMAP Seminar · Berkeley, CA · Seminar

Colloquia & Seminars

A Conceptual Introduction to Deep Learning

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

Colloquia & Seminars

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

KIPAC Stanford: Astrophysics Colloquium · Stanford, CA · Colloquium

Colloquia & Seminars

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

CCA Flatiron Institute: Colloquium · New York, NY · Colloquium

Colloquia & Seminars

Trust Me, I am an Astrophysics Foundation Model

Tsinghua University: Astrophysics Colloquium · Beijing, China · Colloquium

Colloquia & Seminars

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

Ohio State University: CCAPP Seminar · Columbus, OH · Seminar

Colloquia & Seminars

Nested Sampling: Past, Present, & Future

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

Colloquia & Seminars

Astrostatistical Thinking in Machine Learning Applications

Université de Montréal: Astrophysics Seminar · Montreal, QC · Seminar

Colloquia & Seminars

Nested Sampling: Past, Present, and Future

Carnegie Mellon University: STAMPS Seminar · Pittsburgh, PA · Seminar

Colloquia & Seminars

From Panchromatic Images to Stellar Ages and Beyond

University of Pittsburgh: Astronomy Seminar · Pittsburgh, PA · Seminar

Colloquia & Seminars

Extending Statistical Thinking to ML Applications

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

Colloquia & Seminars

From Panchromatic Images to Stellar Ages and Beyond

McMaster University: Astronomy Lunch Seminar · Hamilton, ON · Seminar

Colloquia & Seminars

AI x Astrophysics

University of Toronto: Colloquium on Applications of LLMs · Toronto, ON · Colloquium

Colloquia & Seminars

From Panchromatic Images to Stellar Ages and Beyond

University of Waterloo: Astroseminar · Waterloo, ON · Seminar

Colloquia & Seminars

Galaxy Evolution through the Eyes of the Milky Way

NRC Herzberg Astronomy and Astrophysics Research Centre · Victoria, BC · Colloquium

Colloquia & Seminars

Galaxy Evolution through the Eyes of the Milky Way

Queen's University: Astronomy Seminar · Kingston, ON · Seminar

Colloquia & Seminars

From Panchromatic Images to Stellar Ages and Beyond

Institute for Advanced Study: Astrophysics Seminar · Princeton, NJ · Seminar

Colloquia & Seminars

More Data + More Parameters = More Fun with Galaxy Evolution

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

Colloquia & Seminars

Mapping the Milky Way Near and Far

CASCA: CANadian Virtual Astronomy Seminar (CANVAS) · Virtual · Seminar

Colloquia & Seminars

Statistical Challenges in Stellar Parameter Estimation from Theory and Data

IAU-IAA: Astrostats and Astroinfo Seminar · Virtual · Seminar

Colloquia & Seminars

An Introduction to (Dynamic) Nested Sampling

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

Colloquia & Seminars

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

University of Toronto: Toronto Data Workshop · Toronto, ON · Seminar

Colloquia & Seminars

Mapping the Milky Way with Stars and Dust

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

Colloquia & Seminars

Cosmological Cartography with Photometric Redshifts

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

Colloquia & Seminars

Mapping the Milky Way in the Age of Gaia

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

Colloquia & Seminars

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

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

Colloquia & Seminars

Exploring the Galaxy Near and Far in the Age of Gaia

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

Colloquia & Seminars

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

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

Colloquia & Seminars

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

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

Colloquia & Seminars

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

UMass Amherst: Data Science Tea · Amherst, MA · Seminar

Colloquia & Seminars

An Introduction to Dynamic Nested Sampling

Harvard University: CHASC Astrostatistics Seminar · Cambridge, MA · Seminar

Colloquia & Seminars

Mapping, Visualizing, and Exploiting the Color-Redshift Relation

Kavli IPMU: Astronomy Lunch Seminar · Tokyo, Japan · Seminar

Colloquia & Seminars

The Evolution of Star-Forming Galaxies over Cosmic Time

University of Tsukuba: Theoretical Astrophysics Seminar · Tsukuba, Japan · Seminar

Colloquia & Seminars

Uncertainty Quantification and Calibration in Stellar Parameter Estimation

JSM 2026: Statistical Advances Motivated by Astrophysics and Space Sciences (Topic-Contributed Paper Session) · Boston, MA · Topic-Contributed Paper Session

Contributed Talks

Data-Driven Stellar Abundances from All The Spectra

Fields Institute: Near Field Cosmology in the Era of Big Data - Local Group and Beyond · Toronto, ON · Contributed Talk

Contributed Talks

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

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

Contributed Talks

Rapid Stellar Parameter Inference with Probabilistic Machine Learning

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

Contributed Talks

Connecting Galaxy Evolution between Observation, Simulation, and Theory

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

Contributed Talks

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

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

Contributed Talks

Photometric Biases in Modern Surveys

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

Contributed Talks

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

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

Contributed Talks

Panchromatic Modelling of Co-Eval Stellar Populations

McMaster University: 2022 Clusters Workshop · Hamilton, ON · Contributed Talk

Contributed Talks

Mapping the Milky Way in 5-D with Big Data

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

Contributed Talks

Machine Learning in the Era of Astronomically Big Data

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

Contributed Talks

Unaccounted Uncertainties: The Role of Systematics in Astrophysics

AAS 238: Special Session (Statistics Discussant) · Virtual · Discussant

Contributed Talks

Photometric Biases in Modern Astronomical Surveys

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

Contributed Talks

Challenges Working with Posterior Distributions (with Alex Malz)

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

Contributed Talks

Improving Photometric Redshifts for Hyper Suprime-Cam

COSMO21 2016 · Chania, Greece · Contributed Talk

Contributed Talks

A Conceptual Introduction to Deep Learning

Penn State: Summer School in Statistics for Astronomers (2026) · Virtual · Tutorial

Lectures & Tutorials

Nested Sampling: Past, Present, and Future

Penn State: Summer School in Statistics for Astronomers (2026) · Virtual · Tutorial

Lectures & Tutorials

Bayesian Inference

University of Toronto Statistical Sciences Research Program (UTSSRP 2026) · Toronto, ON · Tutorial

Lectures & Tutorials

AI and LLMs – Research Perspective

Statistical Society of Canada 2026 Annual Meeting · Hamilton, ON · Workshop

Lectures & Tutorials

A Conceptual Introduction to Deep Learning

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

Lectures & Tutorials

Nested Sampling: Past, Present, and Future

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

Lectures & Tutorials

Nested Sampling: Past, Present, and Future

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

Lectures & Tutorials

Machine Learning for Star Cluster Science (with Steffani Grondin)

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

Lectures & Tutorials

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

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

Lectures & Tutorials

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

NSF IAIFI Summer School · Boston, MA · Tutorial

Lectures & Tutorials

A Tutorial of (Dynamic) Nested Sampling

Statistical Challenges in Modern Astronomy VIII · State College, PA · Tutorial

Lectures & Tutorials

Introduction to Bayesian Inference with Linear Regression

Astro Hack Week 2020 · Virtual · Tutorial

Lectures & Tutorials

Panel on inductive biases and interpretability

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

Panels

Career Panel

NSF IAIFI Summer School · Boston, MA · Panelist

Panels

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

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

Panels

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

JSM 2021: Joint Statistical Meetings · Virtual · Panel Organizer & Chair

Panels

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

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

Posters

Data Driven Stellar Spectral Modelling with GSPICE

2022 CASCA Annual General Meeting · Virtual · Poster

Posters

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

2021 CASCA Annual General Meeting · Virtual · Poster

Posters

Dynamic Nested Sampling with dynesty

Bayes Comp 2018 · Barcelona, Spain · Poster

Posters

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

AAS 229 · Grapevine, TX · Poster

Posters

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

AAS 223 · Washington, DC · Poster

Posters

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

AAS 221 · Long Beach, CA · Poster

Posters

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

2012 KASC Meeting · Balatonalmádi, Hungary · Poster

Posters

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

AAS 219 · Austin, TX · Poster

Posters

Host

Astronomy on Tap (Toronto) · Toronto, ON · Event Host

Public Talks & Events

The Role of AI in Modern Astrophysics

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

Public Talks & Events

Mapping the Milky Way from the Inside Out

Astronomy on Tap (Toronto) · Toronto, ON · Public Talk

Public Talks & Events

Mapping the Milky Way in the Age of Gaia

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

Public Talks & Events

Mapping the Milky Way in the Age of Gaia

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

Public Talks & Events

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

GitHub Satellite 2019 · Berlin, Germany · Keynote Participant

Public Talks & Events

Space bubble

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

Media Appearances