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