Confirmed keynote
Chris Oates
Professor of StatisticsNewcastle University
He leads research in computational statistics and probabilistic machine learning, spanning statistics, machine learning, and computational mathematics.
Speaker profile ↗Bayesian computation · College Station, Texas
The biennial meeting for new ideas, practical methods, and open questions in Bayesian computation.
Academic Building, Texas A&M University · Photo by Stu Seeger · CC BY 2.0
BayesComp is the flagship biennial meeting of the Bayesian Computation Section of the International Society for Bayesian Analysis. The series brings researchers and practitioners together around computational methods for inference and decision making.
The 2027 meeting will be hosted at Texas A&M University in College Station. Three keynote speakers are confirmed; further program, registration, participant support, and venue information will be announced as plans are finalized.
BayesComp 2027 will welcome three confirmed keynote speakers from statistics, machine learning, and computational mathematics.
Confirmed keynote
Professor of StatisticsNewcastle University
He leads research in computational statistics and probabilistic machine learning, spanning statistics, machine learning, and computational mathematics.
Speaker profile ↗Confirmed keynote
Senior Principal ResearcherMicrosoft Research
His work develops scalable statistical machine learning methods for inference and applications including climate forecasting, healthcare, and social good.
Speaker profile ↗Confirmed keynote
Associate ProfessorMonash University
Her research focuses on statistical machine learning, especially Bayesian approaches to deep learning, variational inference, and singular learning theory.
Speaker profile ↗Speaker details and photographs are drawn from each speaker’s current institutional or personal profile; profile links are provided with each biography.
Submission, notification, and registration deadlines will be posted here as they are announced.
August 15, 2026
The scientific committee invited proposals for three-speaker sessions on timely topics in Bayesian computation.
To be announced
Submission scope, format, and review dates will be posted when confirmed.
To be announced
Rates, early-registration deadlines, and participant support will appear here.
Program details for keynote presentations, invited and contributed sessions, posters, and community events will be posted as they are confirmed.
Opening day
● Program details to be announcedFull conference day
● Program details to be announcedClosing day
● Program details to be announcedThe meeting will bring together keynote presentations, invited and contributed sessions, posters, and opportunities for discussion. Session times, room assignments, and presentation guidance will be posted as the program is finalized.
BayesComp 2027 will meet on the Texas A&M University campus in College Station. Detailed venue, hotel, accessibility, and local transportation information will be announced as arrangements are finalized.
Getting here
The closest airport to campus, with daily American Airlines service to and from Dallas/Fort Worth (DFW). Rideshare and taxi service are available for the short trip into town.
Airport details ↗Ground Shuttle operates scheduled shared rides between IAH and College Station. Advance reservations are recommended; hotel drop-off may be available for an additional fee.
Ground Shuttle ↗Dallas/Fort Worth and Austin are practical rental-car options. DFW also provides the connecting flights to CLL. No conference shuttle from these airports has been announced.
Conference-specific transportation and campus bus guidance will be added after the venue and hotel blocks are finalized.
Department of Statistics
Bayesian Computation Section of ISBA
Committee membership and contact information will be announced.