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Employment (1)

Google DeepMind: Seattle, US

Employment
Source: Self-asserted source
Shawn O'Banion

Education and qualifications (2)

Northwestern University: Evanston, IL, US

PhD (Computer Science)
Education
Source: Self-asserted source
Shawn O'Banion

DePauw University: Greencastle, US

Bachelor of Arts (Computer Science and Economics)
Education
Source: Self-asserted source
Shawn O'Banion

Works (11)

RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs

2024 | Preprint
Contributors: Jiaxing Wu; Lin Ning; Luyang Liu; Harrison Lee; Neo Wu; Chao Wang; Sushant Prakash; Shawn O'Banion; Bradley Green; Jun Xie
Source: Self-asserted source
Shawn O'Banion

User-LLM: Efficient LLM Contextualization with User Embeddings

2024 | Preprint
Contributors: Lin Ning; Luyang Liu; Jiaxing Wu; Neo Wu; Devora Berlowitz; Sushant Prakash; Bradley Green; Shawn O'Banion; Jun Xie
Source: Self-asserted source
Shawn O'Banion

Adherence to non-pharmaceutical interventions following COVID-19 vaccination: a federated cohort study

npj Digital Medicine
2024-09-10 | Journal article | Author
Part of ISSN: 2398-6352
Contributors: Benjamin Rader; Neil K. R. Sehgal; Julie Michelman; Stefan Mellem; Marinanicole Schultheiss; Thomas Hoddes; Jamie MacFarlane; Geoff Clark; Shawn O'Banion; Paul Eastham et al.
Source: Self-asserted source
Shawn O'Banion

Massively Scalable Inverse Reinforcement Learning in Google Maps

2023 | Conference paper
Contributors: Matt Barnes; Matthew Abueg; Oliver F. Lange; Matt Deeds; Jason Trader; Denali Molitor; Markus Wulfmeier; Shawn O'Banion
Source: Self-asserted source
Shawn O'Banion

Smartphone-based hard-braking event detection at scale for road safety services

Transportation Research Part C: Emerging Technologies
2023-01 | Journal article
Part of ISSN: 0968-090X
Contributors: Luyang Liu; David Racz; Kara Vaillancourt; Julie Michelman; Matt Barnes; Stefan Mellem; Paul Eastham; Bradley Green; Charles Armstrong; Rishi Bal et al.
Source: Self-asserted source
Shawn O'Banion

Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

2020 | Preprint
Contributors: Neo Wu; Bradley Green; Xue Ben; Shawn O'Banion
Source: Self-asserted source
Shawn O'Banion

Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks

2020 | Preprint
Contributors: Amol Kapoor; Xue Ben; Luyang Liu; Bryan Perozzi; Matt Barnes; Martin Blais; Shawn O'Banion
Source: Self-asserted source
Shawn O'Banion

Modeling the combined effect of digital exposure notification and non-pharmaceutical interventions on the COVID-19 epidemic in Washington state

2020-09-02 | Preprint
Contributors: Matthew Abueg; Robert Hinch; Neo Wu; Luyang Liu; William Probert; Austin Wu; Paul Eastham; Yusef Shafi; Matt Rosencrantz; Michael Dikovsky et al.
Source: Self-asserted source
Shawn O'Banion

Estimating the Changing Infection Rate of COVID-19 Using Bayesian Models of Mobility

2020-08-07 | Preprint
Contributors: Luyang Liu; Sharad Vikram; Junpeng Lao; Xue Ben; Alexander D’Amour; Shawn O’Banion; Mark Sandler; Rif A. Saurous; Matthew D. Hoffman
Source: Self-asserted source
Shawn O'Banion

Using explicit linguistic expressions of preference in social media to predict voting behavior

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
2013-08-25 | Conference paper
Contributors: Shawn O'Banion; Larry Birnbaum
Source: Self-asserted source
Shawn O'Banion

Social media-driven news personalization

Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web
2012-09-09 | Conference paper
Contributors: Shawn O'Banion; Larry Birnbaum; Kristian Hammond
Source: Self-asserted source
Shawn O'Banion