01Confirmed 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
BayesComp2027
The biennial meeting for new ideas, practical methods, and open questions in Bayesian computation.
May 18–20, 2027Tuesday through Thursday
Texas A&M UniversityCollege Station, Texas, USA
Three conference daysDetailed program forthcoming
Academic Building, Texas A&M University · Photo by Stu Seeger · CC BY 2.0
01About the meeting
Where computation meets Bayesian thinking.
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 held at the Annenberg Presidential Conference Center at Texas A&M University in College Station. Three keynote speakers are confirmed, and submissions for contributed talks and posters are now open. Detailed program and conference registration information will be announced as plans are finalized.
02Confirmed keynotes
Ideas shaping Bayesian computation.
BayesComp 2027 will welcome three confirmed keynote speakers from statistics, machine learning, and computational mathematics.
01
02Confirmed keynote
Lester Mackey
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 ↗
03Confirmed keynote
Susan Wei
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.
03Important dates
Key dates for BayesComp 2027.
Calls for contributed talks and posters are open. Find submission deadlines and expected notification timing below; conference registration details will be announced separately.
01
August 15, 2026
Invited session proposals
The scientific committee invited proposals for three-speaker sessions on timely topics in Bayesian computation.
02
Talks: November 15, 2026 · Posters: January 3, 2027
Contributed Sessions & Posters
The Scientific Committee for BayesComp 2027 is now accepting submissions for contributed talks and posters. We welcome contributions in Bayesian computation and all related areas.
The submission deadline for contributed talks is November 15, 2026, and the deadline for posters is January 3, 2027. Please use the submission form below to provide your talk or poster information.
To encourage broad participation in the scientific program, each individual may present at most one talk (either invited or contributed) at the conference. Decisions about contributed talks are expected by the end of December 2026.
Travel support
A limited amount of travel support is available. Priority will be given to graduate students and early-career researchers. Please indicate on the submission form if you would like to be considered for travel support.
03
To be announced
Registration
Conference registration rates and early-registration deadlines will be announced here.
04Program
Three days in College Station.
Program details for keynote presentations, invited and contributed sessions, posters, and community events will be posted as they are confirmed.
May 18
TuesdayOpening day
● Program details to be announcedMay 19
WednesdayFull conference day
● Program details to be announcedMay 20
ThursdayClosing day
● Program details to be announcedA focused program for the BayesComp community.
The 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.
05Venue & travel
Welcome to Aggieland.
BayesComp 2027 will be held at the Walter and Leonore Annenberg Presidential Conference Center (APCC) at Texas A&M University. Its auditorium, breakout rooms, poster and lobby spaces provide an integrated setting for keynote lectures, parallel scientific sessions, poster presentations, registration, and informal exchange.
VenueWalter and Leonore Annenberg Presidential Conference Center275 Joe Routt Blvd · College Station, TX 77840
LodgingConference rates forthcomingOfficial booking links will appear here
Getting here
Easterwood Airport
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 ↗Houston Intercontinental
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 ↗Regional airport options
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 as arrangements are finalized.
06Organization
A BayesComp–ISBA meeting at Texas A&M.
Texas A&M University
Department of Statistics
BayesComp–ISBA
Bayesian Computation Section of ISBA
Scientific Committee
- David RossellChair
- Quan ZhouCo-Chair
- Antonietta Mira
- David Nott
- Dootika Vats
- Giacomo Zanella
- Haavard Rue
- Leah South
- Lu Zhang
- Mario Peruggia
- Michele Guindani
- Ramses Mena
- Sara Wade
- Sonia Petrone
- Sudipto Banerjee
Local Organizing Committee
- Anirban Bhattacharya
- Debdeep Pati
- Scott Bruce
- Raymond Carroll
- Valen Johnson
- Bani Mallick
- Huiyan Sang
Administrative coordinators: Judith Moreno and Ana Ferreira
Institutional support
Supported by
BayesComp 2027 is supported by the following organizations.
