Shawn O'Banion

Researcher, Google DeepMind

Joined

April 2023

Names

Shawn O'Banion (Preferred)

Emails

****@google.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Google DeepMind (deepmind.com)

2014 – Present

PhD student

Northwestern University (northwestern.edu)

2010 – 2014

Undergrad student

DePauw University (depauw.edu)

2003 – 2007

Advisors, Relations & Conflicts

PhD Advisor

Larry Birnbaum

2010 – 2014

Expertise

No areas of expertise listed

Publications

Adherence to non-pharmaceutical interventions following COVID-19 vaccination: a federated cohort study
Benjamin Rader, Neil K. R. Sehgal, Julie Michelman, Stefan Mellem, Marinanicole D. Schultheiss, Tom Hoddes, Jamie Macfarlane, Geoff Clark, Shawn O'Banion, Paul Eastham, Gaurav Tuli, James A. Taylor, John S. Brownstein
- npj Digit. Medicine 2024
- Readers: Everyone
Massively Scalable Inverse Reinforcement Learning in Google Maps
Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion
- ICLR 2024
- Readers: Everyone
User-LLM: Efficient LLM Contextualization with User Embeddings
Lin Ning, Luyang Liu, Jiaxing Wu, Neo Wu, Devora Berlowitz, Sushant Prakash, Bradley Green, Shawn O'Banion, Jun Xie
- CoRR 2024
- Readers: Everyone
Massively Scalable Inverse Reinforcement Learning in Google Maps
Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion
- GenPlan'23
- Readers: Everyone
Massively Scalable Inverse Reinforcement Learning in Google Maps
Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion
- ICLR 2024 spotlight
- Readers: Everyone
Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services
Luyang Liu, David Racz, Kara Vaillancourt, Julie Michelman, Matt Barnes, Stefan Mellem, Paul Eastham, Bradley Green, Charles Armstrong, Rishi Bal, Shawn O'Banion, Feng Guo
- Published: 01 Jan 2022, Last Modified: 03 May 2023
- CoRR 2022
- Readers: Everyone
Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state
Matthew Abueg, Robert Hinch, Neo Wu, Luyang Liu, William J. M. Probert, Austin Wu, Paul Eastham, Yusef Shafi, Matt Rosencrantz, Michael Dikovsky, Zhao Cheng, Anel Nurtay, Lucie Abeler-Dörner, David G. Bonsall, Michael V. McConnell, Shawn O'Banion, Christophe Fraser
- Published: 01 Jan 2021, Last Modified: 03 May 2023
- npj Digit. Medicine 2021
- Readers: Everyone
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks
Amol Kapoor, Xue Ben, Luyang Liu, Bryan Perozzi, Matt Barnes, Martin Blais, Shawn O'Banion
- 2020 (modified: 03 May 2023)
- CoRR 2020
- Readers: Everyone
Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case
Neo Wu, Bradley Green, Xue Ben, Shawn O'Banion
- Published: 01 Jan 2020, Last Modified: 03 May 2023
- CoRR 2020
- Readers: Everyone
Using explicit linguistic expressions of preference in social media to predict voting behavior
Shawn O'Banion, Larry Birnbaum
- Published: 01 Jan 2013, Last Modified: 03 May 2023
- ASONAM 2013
- Readers: Everyone

View all 12 publications

Co-Authors

View all 51 co-authors