· Invited Talk
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 Talks
· Invited Talk
Adaptive 'Frasian' Inference under Data-Prior Conflict
STAMPS@CMU Workshop 2026 · Pittsburgh, USA
· Invited Talk
AI for Scientists: Learning and Doing in the Era of VLMs
Language AI in the Space Sciences · Baltimore, USA
· Invited Talk
Astro-Statistical Learning and Uncertainty Quantification
CFE-CMStatistics 2025: Starstruck Statistics · London, UK
· Invited Talk
A Brief History of Time MCMC in Astronomy
The Fast and Curious 2: MCMC in Action · Toronto, Canada
· Invited Talk
Bayesian Parameter Estimation and Model Selection Problems in Astrophysics
Bayes Comp 2025 · Singapore
Invited Talks
· Invited Talk
AI SpAI with My (Little?) AI: Applications of Statistical Learning in Modern Astrophysics
AstroAI Summer Workshop · Cambridge, MA
· Invited Talk
Uncertainty and Interpretability in Machine Learning Models
NSF IAIFI Summer Workshop · Boston, MA
Invited Talks
· Invited Talk
Musings on Nested Sampling from Interactions with Everyday Users
MaxEnt 2023 Workshop: Frontiers of Nested Sampling Meeting-within-a-Meeting · Virtual
· Invited Talk
Extending Bayesian Modeling Approaches to ML Applications
Statistical Challenges in Modern Astronomy VIII · State College, PA
· Invited Talk
Machine Learning in Astronomy: Possibilities and Pitfall: Incorporating Errors into Machine Learning Methods
IAU General Assembly 2022 · Virtual
· Invited Talk
An Introduction to (Dynamic) Nested Sampling
UCLA IPAM: Mathematical and Computational Challenges in the Era of Gravitational Wave Astronomy · Virtual
· Keynote Address
An Introduction to Nested Sampling
University of Surrey: Towards a Cross-Research Platform for Hosting Bayesian Data-Fitting Tools · Virtual
· Invited Talk
Revealing the Milky Way's Dust-iny
Harvard University: CMSA Big Data Conference · Cambridge, MA
· Seminar
What exactly are we doing?
Center for Astrophysics | Harvard & Smithsonian: AstroAI Lunch Seminar · Cambridge, MA
· Colloquium
A Deep Dive into Data-Driven Astrophysics
UC San Diego: Astronomy & Astrophysics Colloquium · La Jolla, USA
Colloquia & Seminars
· Seminar
What the *** are we doing? (or: why do we do research?)
UC San Diego: SMASH (AI x Physical Sciences) Seminar · La Jolla, USA
Colloquia & Seminars
· Colloquium
AI x Astrophysics
University of Toronto: 2nd Colloquium on Applications of AI · Toronto, ON
· Colloquium
Learning and Doing Physics and Astronomy in the Age of AI
Wellesley College: Physics & Astronomy Colloquium · Wellesley, USA
Colloquia & Seminars
· Seminar
A Conceptual Introduction to Deep Learning
Cambridge: Astrophysics Data Science Seminar · Cambridge, UK
Colloquia & Seminars
· Seminar
A Conceptual Introduction to Deep Learning
University of Vienna: Astronomy & Astrophysics Seminar · Vienna, Austria
Colloquia & Seminars
· Seminar
A Conceptual Introduction to Deep Learning
MPIA: Data Science Seminar · Heidelberg, Germany
Colloquia & Seminars
· Seminar
A Conceptual Introduction to Deep Learning
UC Berkeley: BIDMAP Seminar · Berkeley, CA
· Seminar
A Conceptual Introduction to Deep Learning
Penn State University: Department of Astronomy and Astrophysics Seminar · State College, PA
Colloquia & Seminars
· Colloquium
"Why should I believe you?" "Because I am an Astrophysics Foundation Model."
KIPAC Stanford: Astrophysics Colloquium · Stanford, CA
· Colloquium
Q: Why should I believe you? A: Because I am an Astrophysics Foundation Model
CCA Flatiron Institute: Colloquium · New York, NY
· Colloquium
Trust Me, I am an Astrophysics Foundation Model
Tsinghua University: Astrophysics Colloquium · Beijing, China
· Seminar
I Spy with my (Little?) AI: Applications of Statistical Learning in Modern Astrophysics
Ohio State University: CCAPP Seminar · Columbus, OH
· Seminar
Nested Sampling: Past, Present, & Future
University of Guelph: Math & Stats Seminar · Guelph, ON
· Seminar
Astrostatistical Thinking in Machine Learning Applications
Université de Montréal: Astrophysics Seminar · Montreal, QC
· Seminar
Nested Sampling: Past, Present, and Future
Carnegie Mellon University: STAMPS Seminar · Pittsburgh, PA
Colloquia & Seminars
· Seminar
From Panchromatic Images to Stellar Ages and Beyond
University of Pittsburgh: Astronomy Seminar · Pittsburgh, PA
Colloquia & Seminars
· Seminar
Extending Statistical Thinking to ML Applications
Center for Astrophysics | Harvard & Smithsonian: AstroAI Seminar · Cambridge, MA
Colloquia & Seminars
· Seminar
From Panchromatic Images to Stellar Ages and Beyond
McMaster University: Astronomy Lunch Seminar · Hamilton, ON
Colloquia & Seminars
· Colloquium
AI x Astrophysics
University of Toronto: Colloquium on Applications of LLMs · Toronto, ON
Colloquia & Seminars
· Seminar
From Panchromatic Images to Stellar Ages and Beyond
University of Waterloo: Astroseminar · Waterloo, ON
· Colloquium
Galaxy Evolution through the Eyes of the Milky Way
NRC Herzberg Astronomy and Astrophysics Research Centre · Victoria, BC
Colloquia & Seminars
· Seminar
Galaxy Evolution through the Eyes of the Milky Way
Queen's University: Astronomy Seminar · Kingston, ON
Colloquia & Seminars
· Seminar
From Panchromatic Images to Stellar Ages and Beyond
Institute for Advanced Study: Astrophysics Seminar · Princeton, NJ
Colloquia & Seminars
· Colloquium
More Data + More Parameters = More Fun with Galaxy Evolution
Saint Mary's University: Department of Astronomy and Physics Colloquium · Halifax, NS
Colloquia & Seminars
· Seminar
Mapping the Milky Way Near and Far
CASCA: CANadian Virtual Astronomy Seminar (CANVAS) · Virtual
· Seminar
Statistical Challenges in Stellar Parameter Estimation from Theory and Data
IAU-IAA: Astrostats and Astroinfo Seminar · Virtual
· Seminar
An Introduction to (Dynamic) Nested Sampling
Saint Mary's University: Data Analytics Seminar · Halifax, NS
Colloquia & Seminars
· Seminar
Stars, Galaxies, and Everything In-Between: Galaxy Evolution Near and Far with Large Datasets
University of Toronto: Toronto Data Workshop · Toronto, ON
· Colloquium
Mapping the Milky Way with Stars and Dust
Penn State University: Department of Astronomy and Astrophysics Colloquium · University Park, PA
Colloquia & Seminars
· Seminar
Cosmological Cartography with Photometric Redshifts
University of Chicago: Kavli Institute for Cosmological Physics Seminar · Chicago, IL
· Seminar
Mapping the Milky Way in the Age of Gaia
CANSSI Ontario: Data Science Applied Research and Education Seminar · Virtual
· Colloquium
Enabling Data-Driven Discovery in the Milky Way and Beyond Using Large Astronomical Datasets
University of Florida: Department of Astronomy Colloquium · Gainesville, FL
Colloquia & Seminars
· Colloquium
Exploring the Galaxy Near and Far in the Age of Gaia
Villanova University: Department of Astrophysics and Planetary Science Colloquium · Villanova, PA
Colloquia & Seminars
· Colloquium
Charting Nearby Molecular Clouds with Gaia: A New Map of Our Local Interstellar Medium
Harvard University: Summer Colloquium (joint with Catherine Zucker) · Cambridge, MA
Colloquia & Seminars
· Seminar
Mapping the 3-D Distribution of Dust in the Milky Way with Stellar Photometry
University of Cambridge: Data Intensive Science Seminar · Cambridge, UK
Colloquia & Seminars
· Seminar
Big Data Inference: Using Hierarchical Bayes and Machine Learning to Improve Photometric Redshifts
UMass Amherst: Data Science Tea · Amherst, MA
Colloquia & Seminars
· Seminar
An Introduction to Dynamic Nested Sampling
Harvard University: CHASC Astrostatistics Seminar · Cambridge, MA
· Seminar
Mapping, Visualizing, and Exploiting the Color-Redshift Relation
Kavli IPMU: Astronomy Lunch Seminar · Tokyo, Japan
Colloquia & Seminars
· Seminar
The Evolution of Star-Forming Galaxies over Cosmic Time
University of Tsukuba: Theoretical Astrophysics Seminar · Tsukuba, Japan
Colloquia & Seminars
· Topic-Contributed Paper Session
Uncertainty Quantification and Calibration in Stellar Parameter Estimation
JSM 2026: Statistical Advances Motivated by Astrophysics and Space Sciences (Topic-Contributed Paper Session) · Boston, MA
· Contributed Talk
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
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
Rapid Stellar Parameter Inference with Probabilistic Machine Learning
University of Michigan: 2023 Clusters & Streams Workshop · Ann Arbor, MI
Contributed Talks
· Invited Paper Session
Connecting Galaxy Evolution between Observation, Simulation, and Theory
JSM 2023: True North Strong and... Amazing at Astrostatistics! (Invited Paper Session) · Toronto, ON
Contributed Talks
· Spotlight Talk
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
Contributed Talks
· Contributed Talk
Photometric Biases in Modern Surveys
Surveys to Discovery (S2D) Conference · Montreal, QC
Contributed Talks
· Contributed Talk
From Light to Mass and Back Again: Exploring Galaxy Evolution with 'New' Methods and 'Old' Outcomes
2023 Spring Research Conference (SRC) · Banff, AB
Contributed Talks
· Contributed Talk
Panchromatic Modelling of Co-Eval Stellar Populations
McMaster University: 2022 Clusters Workshop · Hamilton, ON
· Invited Paper Session
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
· Contributed Talk
Machine Learning in the Era of Astronomically Big Data
Seeing the Future: A Conference in Honour of Alyssa Goodman · Cambridge, MA
Contributed Talks
· Discussant
Unaccounted Uncertainties: The Role of Systematics in Astrophysics
AAS 238: Special Session (Statistics Discussant) · Virtual
Contributed Talks
· Student Paper Award
Photometric Biases in Modern Astronomical Surveys
JSM 2020: Astrostatistics Interest Group: Student Paper Award (Topic-Contributed Paper Session) · Virtual
Contributed Talks
· Contributed Talk
Challenges Working with Posterior Distributions (with Alex Malz)
Lorentz Center: Colours of the Universe Workshop · Leiden, Netherlands
Contributed Talks
· Contributed Talk
Improving Photometric Redshifts for Hyper Suprime-Cam
COSMO21 2016 · Chania, Greece
Contributed Talks
· Tutorial
A Conceptual Introduction to Deep Learning
Penn State: Summer School in Statistics for Astronomers (2026) · Virtual
· Tutorial
Nested Sampling: Past, Present, and Future
Penn State: Summer School in Statistics for Astronomers (2026) · Virtual
· Tutorial
Bayesian Inference
University of Toronto Statistical Sciences Research Program (UTSSRP 2026) · Toronto, ON
Lectures & Tutorials
· Workshop
AI and LLMs – Research Perspective
Statistical Society of Canada 2026 Annual Meeting · Hamilton, ON
· Tutorial
A Conceptual Introduction to Deep Learning
Penn State: Summer School in Statistics for Astronomers (2025) · Virtual
· Tutorial
Nested Sampling: Past, Present, and Future
Penn State: Summer School in Statistics for Astronomers (2025) · Virtual
· Tutorial
Nested Sampling: Past, Present, and Future
Penn State: Summer School in Statistics for Astronomers (2024) · Virtual
· Tutorial
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
Dimensionality Reduction: Applications to Star Cluster Science (with Steffani Grondin)
University of Michigan: 2023 Clusters & Streams Workshop · Ann Arbor, MI
Lectures & Tutorials
· Tutorial
Uncertainty and Interpretability in Machine Learning Models (with Alex Gagliano)
NSF IAIFI Summer School · Boston, MA
· Tutorial
A Tutorial of (Dynamic) Nested Sampling
Statistical Challenges in Modern Astronomy VIII · State College, PA
· Tutorial
Introduction to Bayesian Inference with Linear Regression
Astro Hack Week 2020 · Virtual
Lectures & Tutorials
· Panelist
Panel on inductive biases and interpretability
NeurIPS 2023: Workshop on Machine Learning and the Physical Sciences · New Orleans, LA
· Panelist
Career Panel
NSF IAIFI Summer School · Boston, MA
Panels
· Panelist
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
Panels
· Panel Organizer & Chair
Understanding a Data-Rich Universe with Data-Driven Approaches (Organizer & Chair)
JSM 2021: Joint Statistical Meetings · Virtual
Panels
· Poster
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
Data Driven Stellar Spectral Modelling with GSPICE
2022 CASCA Annual General Meeting · Virtual
Posters
· Poster
Deriving Stellar Properties, Distances, and Reddenings from Photometry (and Astrometry) with brutus
2021 CASCA Annual General Meeting · Virtual
Posters
· Poster
Dynamic Nested Sampling with dynesty
Bayes Comp 2018 · Barcelona, Spain
Posters
· Poster
Improving Photometric Redshifts for Hyper Suprime-Cam (HSC) with Hierarchical Bayes and Machine Learning
AAS 229 · Grapevine, TX
Posters
· Poster
Parallel Galaxy Main Sequence and Quasar Evolution from z=0-6 (AAS Chambliss Award Honorable Mention)
AAS 223 · Washington, DC
· Poster
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
Posters
· Poster
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
Posters
· Poster
The X-ray Counterpart of the High-B Pulsar J0726-2612 (AAS Chambliss Award)
AAS 219 · Austin, TX
· Event Host
Host
Astronomy on Tap (Toronto) · Toronto, ON
Public Talks & Events
· Public Talk
The Role of AI in Modern Astrophysics
Christie Gardens Apartments & Care (Toronto) · Toronto, ON
Public Talks & Events
· Public Talk
Mapping the Milky Way from the Inside Out
Astronomy on Tap (Toronto) · Toronto, ON
Public Talks & Events
· Public Talk
Mapping the Milky Way in the Age of Gaia
RASC (Toronto Centre): Speaker's Night · Toronto, ON
· Public Talk
Mapping the Milky Way in the Age of Gaia
RASC (Ottawa Centre): Monthly Meeting · Ottawa, ON
· Keynote Participant
Keynote participant for open-source code contributions (dynesty) in the analysis of M87* by the EHT collaboration
GitHub Satellite 2019 · Berlin, Germany
Public Talks & Events
· Radio Interview
Space bubble
CBC Calgary: Calgary Eyeopener with David Gray, Angela Knight · Radio Interview
Media Appearances
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