Talks & Media

Talks, panels, and media appearances — from gamma-ray bursts to machine learning at scale. Where available, each entry links to video, audio, slides, and a transcript.

Past Talks & Media

Talk Center for Decoding the Universe Annual Conference, Stanford Stanford, CA · Jun 2025 #45

Time-Domain Data and Anomaly Detection

Video Transcript Event

Colloquium IAIFI Colloquium, MIT Cambridge, MA · May 2025 #44

AI Accelerating Inquiry and Insight in Astrophysics

Video Slides Transcript Event

Colloquium A3D3 Institute Seminar / UW Physics Colloquium Seattle, WA & virtual · May 2024 #43

The Real AI Revolution in Astronomy Hasn't Happened Yet

Video Transcript Event

Invited Talk Cosmic Connections: ML X Astrophysics Symposium, Simons Foundation New York, NY · May 2023 #42

AI Assisted Discovery: from UX to Eureka!

Video Slides Event

Podcast Gradient Dissent (Weights & Biases) Jul 2021 #41

The Link Between Astronomy and ML

Video Listen Transcript Event

Talk MLClub.net Virtual · Feb 2021 #40

Machine Learning in Astronomical Surveys (ML Club intro)

Seminar Harvard IACS Seminar Cambridge, MA (virtual) · 2020 #39

Physics-Informed Machine Learning in Astronomy

Video Transcript Event

Invited Talk ScaledML 2020 Mountain View, CA · Feb 2020 #38

Towards Physics-Informed ML Inference in Astrophysics

Video Transcript Event

Talk Machine Learning for Physics and the Physics of Learning, IPAM (UCLA) Los Angeles, CA · Sep 2019 #37

Physics-Informed (and -Informative) Generative Modelling in Astronomy

Video Slides Transcript Event

Plenary DOE AI for Science Town Hall, Lawrence Berkeley National Laboratory Berkeley, CA · Sep 2019 #36

Machine Learning at Scale: Astrophysics

Plenary DESI Collaboration Meeting Berkeley, CA · Jul 2019 #35

Optimizing DESI for the Time-Domain Opportunities

Lecture Berkeley Institute for Data Science (BIDS) Data Science Lecture Berkeley, CA · Apr 2019 #34

Astrophysical Machine Learning

Podcast Masters of Data Podcast (Sumo Logic) Mar 2019 #33

Industrial-Grade Machine Learning

Talk Real-Time Decision Making program, Simons Institute Berkeley, CA · Feb 2018 #32

Machine Learning for Time-Domain Astrophysics

Video Transcript Event

Keynote Strata Data Conference Singapore Singapore · Dec 2017 #31

Industrial Machine Learning

Talk Seminar talk Nov 2017 #30

Autoencoding RNNs for Inference on Unevenly Sampled Time-Series

Invited Talk KDD 2017, Applied Data Science Invited Talks Halifax, Canada · Aug 2017 #29

Industrial Machine Learning

Podcast TWIML AI Podcast (#42) Aug 2017 #28

Marrying Physics-Based and Data-Driven ML Models

Video Listen Transcript Event

Lecture UC Berkeley Haas School of Business Berkeley, CA · 2017 #27

Industrial Machine Learning

Podcast TWIML AI Podcast (#5) Sep 2016 #26

Machine Learning for the Stars & Productizing AI

Video Listen Transcript Event

Tutorial Astro Hack Week 2016 Berkeley, CA · Aug 2016 #25

Machine Learning (lecture)

Video Transcript Event

Podcast Software Engineering Daily Jan 2016 #24

Machine Learning for Businesses

Keynote PyData Seattle 2015 Seattle, WA · Jul 2015 #23

A Systems View of Machine Learning

Video Slides Transcript Event

Talk Seminar/workshop talk 2015 #22

Data Science Education: Needs & Opportunities in Astronomy

Talk Data Driven NYC (FirstMark) New York, NY · May 2015 #21

Machine Learning in Production

Video Slides Transcript Event

Tutorial Astro Hack Week 2014 Seattle, WA · Sep 2014 #20

Supervised Machine Learning

Panel DataEDGE Conference, UC Berkeley School of Information Berkeley, CA · May 2014 #19

UC Berkeley Data Science Startups

Colloquium CIERA Interdisciplinary Colloquium, Northwestern University Evanston, IL · May 2014 #18

Machine Learning in Astronomy

Keynote PyData Silicon Valley 2014 Menlo Park, CA · May 2014 #17

Data Science at Berkeley

Video Slides Event

Invited Talk Training Students to Extract Value from Big Data, National Academy of Sciences Washington, DC · Apr 2014 #16

Computational Training and Data Literacy for Domain Scientists

Talk Strata Conference (Hardcore Data Science track) Santa Clara, CA · Feb 2014 #15

Overcoming the Barriers to Production-Ready Machine-Learning Workflows

Video Slides Event

Lecture Big Data Boot Camp, Simons Institute Berkeley, CA · Sep 2013 #14

Large-Scale Inference in Time Domain Astrophysics

Video Slides Transcript Event

Talk CITRIS Research Exchange, UC Berkeley Berkeley, CA · 2013 #13

Astrophysics of Streaming Time-Series Data: Discovery and Inference

Video Transcript Event

Lecture UC Berkeley Data Science Lecture Series Berkeley, CA · Jun 2013 #12

Extracting Actionable Insight from Dirty Time-Series Data

Invited Talk Symposium on Visions of the Theory of Computing, Simons Institute Berkeley, CA · May 2013 #11

The Modern Astrophysics Stack: Automated Action and Insight

Video Transcript Event

Talk LSST All-Hands Meeting 2012 Tucson, AZ · Aug 2012 #10

Classification Challenges

Radio NPR Morning Edition Jul 2012 #9

Telescope Targets Black Holes' Binges and Burps

Listen Transcript Event

Invited Talk SciPy 2012 Austin, TX · Jul 2012 #8

Python as Super Glue for the Modern Scientific Workflow

Video Transcript Event

Invited Talk Royal Society Discussion Meeting: New Windows on Transients Across the Universe London, UK · Apr 2012 #7

Data-Mining and Machine Learning in the LSST Era

Talk Workshop talk 2011 #6

Machine Learning and Classification in the Synoptic Survey Era

Radio NPR Science Friday Jun 2011 #5

In a Flash of Gamma-Rays, a Star Is Gone

Listen Transcript Event

Radio BBC Newshour Jun 2011 #4

Black Hole Swallows a Star (Swift J1644+57)

Talk Hot-wiring the Transient Universe II Santa Fe, NM · 2009 #3

Building a Classification Engine for the Palomar Transient Factory

Talk SciPy 2008 Pasadena, CA · Aug 2008 #2

Real-time Astronomical Time-series Classification and Broadcast Pipeline

Radio NPR Science Friday Jun 2005 #1

Gamma Ray Bursters

Listen Transcript Event