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BayesiaLabThe Annual BayesiaLab Conference2025 BayesiaLab Conference in Boca Raton

The 2025 BayesiaLab Conference in Boca Raton

2025 BayesiaLab Conference in Boca Raton

Florida Atlantic University — Office Depot Center, 777 Glades Road, Boca Raton, FL 33431
November 6-7, 2025

Returning to Florida for the 13th Annual Gathering

Unlock new frontiers in causal modeling, analytics, and AI-driven reasoning, and join us for the 2025 BayesiaLab Conference. Whether you’re a seasoned modeler or new to Bayesian networks, you’ll gain actionable insights, hands-on experience, and connections with a global community. 

Why attend?

  • Deep dive into applied Bayesian network case studies across domains.
  • Get first looks at BayesiaLab innovations, incl. new GenAI integrations.
  • Learn from world-class speakers bridging theory and practice.
  • Network with fellow data scientists, researchers, and domain experts.
  • “Beach+brains” setting — experience world-class scholarship in an inspiring venue.

Our conference will take place at the state-of-the-art conference facilities of the Office Depot Center on the beautiful campus of Florida Atlantic University, providing an inspiring setting for collaboration, discovery, and innovation. And for the event’s social program, we’ll be heading to the beach!

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Conference Agenda

Stefan Conrady
Stefan Conrady
Managing Partner
Bayesia USA & Singapore
Welcome & Introductory Remarks
Nov. 6
08:30-08:45
Martine Barons
Martine Barons
Director of the Applied Statistics & Risk Unit
University of Warwick
Reporting Standards for Bayesian Networks – Why Are They Useful?
Nov. 6
08:45-9:30
Olivier Cussenot
Olivier Cussenot
Adjunct Professor Medical University Vienna and Scientific Director of CeRePP Paris
A Bayesian–Generative AI Framework for Modelling Genetic Susceptibility in Prostate Cancer
Nov. 6
09:30-10:15
Coffee Break
Nov. 6
10:15-10:30
Ania Khodabakhshian
Ania Khodabakhshian
Senior Project Manager
Politecnico di Milano
Elicit-and-Augment: A Hybrid Bayesian Framework for Risk Modeling in Data-Scarce Construction Projects
Nov. 6
10:30-11:15
Kurt Schulzke
Kurt Schulzke
Professor of Accounting & Law
University of North Georgia
Nov. 6
11:15-12:00
Lunch Break
Nov. 6
12:00-13:00
Praveen Sharma
Praveen Sharma
Vice President, Marketing Science, Data & Analytics
Material
Giving Rideshare Experiences a Lyft: Using Bayesian Network Modeling to Improve Rides for Drivers and Passengers
Nov. 6
13:00-13:45
Kourosh Arianejad
Kourosh Arianejad
Associate Vice President, Client Partner
Material
Giving Rideshare Experiences a Lyft: Using Bayesian Network Modeling to Improve Rides for Drivers and Passengers
Nov. 6
13:00-13:45
Sally Sadosky
Sally Sadosky
Group Manager, Research & Insights
Lyft
Giving Rideshare Experiences a Lyft: Using Bayesian Network Modeling to Improve Rides for Drivers and Passengers
Nov. 6
13:00-13:45
Zichao Li
Zichao Li
Chief Scientist/Researcher
Canoakbit Alliance/University of Waterloo
A Novel Bayesian Pay-as-You-Drive Insurance Model with Risk Prediction and Causal Mapping
Nov. 6
13:45-14:30
Bezalem Eshetu Yirdaw
Bezalem Eshetu Yirdaw
University of South Africa
Prior Sensitivity in Multilevel Bayesian Networks with a Single Random Effect Using Efficient Bayesian Inference
Nov. 6
14:30-15:15
Coffee Break
Nov. 6
15:15-15:30
Steven Frazier
Steven Frazier
Independent Consultant, Advanced Analytics & Bayesian Modeling
Mapping Causality in School Growth: Hellixia Models for Strategic Enrollment and Design
Nov. 6
15:30-16:15
Tony Sun
Tony Sun
Lead Data Scientist
Lowe's Companies Inc.
Supply Chain Optimization with Bayesian Intelligence
Nov. 6
16:15-17:00
Alexander Alexeev
Alexander Alexeev
Lecturer in Data Analysis and Modeling
Indiana University
Modeling Decision Making and Performance in the Iowa Gambling Task with Bayesian Networks
Nov. 6
17:00-17:45
Break
Nov. 6
17:45-18:30
Social Program
Optional Participation
Nov. 6
18:30-20:30
Lionel Jouffe
Lionel Jouffe
President/CEO
Bayesia S.A.S.
Nov. 7
08:30-09:30
Gabriel Andraos
Gabriel Andraos
Managing Director, Co-Head AI Transformation
MSCI Inc.
Nov. 7
09:30-10:15
Coffee Break
Nov. 7
10:15-10:30
Vinaika Maruvada
Vinaika Maruvada
University of Houston
Nov. 7
10:30-11:15
Subhan Khalid
Subhan Khalid
Harrisburg University of Science & Technology, IQVIA Inc.
Characteristics and Comorbidities Influencing Mortality Risk Among Patients with Hereditary Angioedema
Nov. 7
11:15-12:00
Lunch Break
Nov. 7
12:00-13:00
Jacqueline MacDonald Gibson
Jacqueline MacDonald Gibson
Twisdale Family Civil, Construction, and Environmental Engineering Department Head and Professor
North Carolina State University
Blending Bayesian Networks with Mechanistic Models to Improve Exposure Risk Predictions for Environmental Contaminants
Nov. 7
13:00-13:45
Emmanuel Keita
Emmanuel Keita
AVEYO Consulting
I Ching Analysis with Hellixia
Nov. 7
13:45-14:30
Anand Wilson
Anand Wilson
Senior Data Science Consultant, Global Data Sciences & Applied AI
C5i
Optimizing Distribution Efficiency and Reducing Operational Waste Using Bayesian Network Models
Nov. 7
14:30-15:15
Coffee Break
Nov. 7
15:15-15:30
Martin Paul Block
Martin Paul Block
Professor Emeritus
Northwestern University — Medill School of Journalism, Media, Integrated Marketing Communications
Nov. 7
15:30-16:15
Charlotte King
Charlotte King
Sustainability Scientist
The Climate Consortium
Bayesian Climate Intelligence: Modeling Uncertainty Across Scope 3 Emissions and Green Chemistry
Nov. 7
16:15-17:00
Stefan Conrady
Stefan Conrady
Managing Partner
Bayesia USA & Singapore
Concluding Remarks
Nov. 7
17:00-17:15

Conference Registration

Accommodation

Study Bayesian Networks and Stay at the Beach! To help you make the most of your stay, we’ve compiled a list of hotels near the Florida Atlantic University, offering easy access to both the conference venue and the beach.

Delray Sands Resort
Delray Sands Resort
2809 South Ocean Blvd, Highland Beach, FL 33487 USA Group Code: 9752338
Embassy Suites by Hilton Deerfield Beach Resort & Spa
Embassy Suites by Hilton Deerfield Beach Resort & Spa
950 South Ocean Drive, Deerfield Beach, FL, 33441
Wyndham Deerfield Beach Resort
Wyndham Deerfield Beach Resort
2096 NE 2nd St, Deerfield Beach, FL 33441

Previous Conferences

If you’re new to the BayesiaLab Conference or want a preview of what to expect, our conference archive is the perfect place to start. It features hundreds of hours of presentation videos and slides from every event since 2013, showcasing foundational concepts, innovative research, and real-world applications of Bayesian networks. These recordings highlight the depth and diversity of the global BayesiaLab user community and provide a rich overview of the conference experience.

2025 Conference in Boca Raton
2025 Conference in Boca Raton
Bayesian Networks on the Beach
2024 Conference in Cincinnati
2024 Conference in Cincinnati
Curious Minds in a Colorful Space
2023 Conference
2023 Conference
Still Remote, Still Remarkable
2022 Conference
2022 Conference
Ten Years of Insight, Innovation, and Impact
2021 Conference
2021 Conference
Curiosity Connected by Zoom
2020 Conference
2020 Conference
Real Insights in a Virtual World
2019 Conference in Durham
2019 Conference in Durham
Biotech and Bayesian Networks
2018 Conference in Chicago
2018 Conference in Chicago
Bayesian Networks on the Magnificent Mile
2017 Conference in Paris
2017 Conference in Paris
From the Eiffel Tower to AI Power
2016 Conference in Nashville
2016 Conference in Nashville
Modeling in Music City
2015 Conference in Fairfax
2015 Conference in Fairfax
Where Policy Meets Probability
2014 Conference in Los Angeles
2014 Conference in Los Angeles
At the Birthplace of Bayesian Networks
2013 Conference in Orlando
2013 Conference in Orlando
The Inaugural BayesiaLab Conference

Conference Hotline

For questions about the conference, please reach out to us anytime:

FAQ

What is the cost for attending this conference?

General admission for the two-day conference is $399 (incl. Eventbrite fees and taxes). Participants from academic institutions, NGOs, government agencies, and the military are eligible for a discounted conference ticket of $299 (incl. Eventbrite fees and taxes).

What is the typical background of conference attendees?

Applied researchers, statisticians, data scientists, data miners, decision scientists, biologists, ecologists, environmental scientists, epidemiologists, predictive modelers, econometricians, economists, market researchers, knowledge managers, marketing scientists, operations researchers, social scientists, students and teachers in related fields.

I’m new to Bayesian networks. Does it make sense for me to attend?

By all means, yes! Most attendees consider themselves students rather than experts in the rapidly evolving field of Bayesian network research, so even if you are entirely new to this field, you’ll fit right in with everybody else on this journey of discovery.

Can I attend this conference remotely?

No, this is an in-person event, and you will need to be present at the venue in Boca Raton.

What is the cancellation and refund policy?

You may cancel your registration for a full refund of the fee up to 30 days before the start of the event. If you cancel within 30 days of the event, your registration fee will not be refunded. However, you will be able to apply 100% of the paid fees towards future BayesiaLab events.

2025 BayesiaLab Conference – Bayesia