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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

A Successful Return to Florida for the 13th Annual Gathering

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The 2025 BayesiaLab Conference offered two full days of learning, collaboration, and conversation. We welcomed participants from around the world to explore recent developments in Bayesian networks, causal analytics, and GenAI-supported reasoning. The program combined substantive case studies, practical demonstrations, and presentations that reflected the range and maturity of today’s Bayesian network modeling community.

Our conference took 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.

The social hour at the beach gave us a break in the program, where we caught up with familiar faces, met new colleagues, and enjoyed Florida vibes. It highlighted how well the conference balanced serious inquiry with camaraderie and reminded us how much we value the community that gathers around BayesiaLab each year.

Conference Presentations

Presentations marked with have a video recording available.

Stefan Conrady
Stefan Conrady
Managing Partner
Bayesia USA & Singapore
Welcome & Introductory Remarks
Nov. 6
09:00-09:15
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
09:15-9:45
Recording available
Olivier Cussenot
Olivier Cussenot
Adjunct Professor Medical University Vienna and Scientific Director of CeRePP Paris
Medical University Vienna, CeRePP Paris
A Bayesian–Generative AI Framework for Modelling Genetic Susceptibility in Prostate Cancer
Nov. 6
09:45-10:15
Recording available
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
10:30-11:00
Recording available
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
11:00-11:30
Recording available
John Carriger
John Carriger
Carriger Analytics Group
From Prediction to Implementation: Results Chains with Bayesian Networks for Decisions Under Uncertainty
Nov. 6
11:30-12:00
Recording available
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
13:00-13:30
Recording available
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
13:00-13:30
Recording available
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
13:00-13:30
Recording available
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
13:30-14:00
Recording available
Kurt Schulzke
Kurt Schulzke
Professor of Accounting & Law
University of North Georgia
Better Off Dead? Modeling Compliance Risk in Organ Procurement
Nov. 6
14:00-14:30
Recording available
Steven Frazier
Steven Frazier
Consultant, Advanced Analytics & Bayesian Modeling
Frazier Manufacturing Analytics & Process Optimization Consulting
Mapping Causality in School Growth: Hellixia Models for Strategic Enrollment and Design
Nov. 6
14:45-15:15
Recording available
Tony Sun
Tony Sun
Lead Data Scientist
Lowe's Companies Inc.
Supply Chain Optimization with Bayesian Intelligence
Nov. 6
15:15-15:45
Recording available
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
15:45-16:15
Recording available
Stefan Conrady
Stefan Conrady
Managing Partner
Bayesia USA & Singapore
From Meta-Reasoning to Model-Based Thinking: Grounding Generative AI in Bayesian Networks
Nov. 6
16:15-17:00
Lionel Jouffe
Lionel Jouffe
President/CEO
Bayesia S.A.S.
Graph Intelligence for Explainable Decision-Making — Shaping the Future: Bridging Expert Knowledge, Data Science, and Generative AI
Nov. 7
08:30-09:30
Recording available
Gabriel Andraos
Gabriel Andraos
Managing Director, Co-Head AI Transformation
MSCI Inc.
Rethinking Business Processes in the Age of Agentic AI - A Hellixia-Guided Workflow for Analyzing Corporate Boards and Obtaining Governance Scores
Nov. 7
09:30-10:00
Recording available
Vinaika Maruvada
Vinaika Maruvada
Ph.D. in Biomedical Engineering, Mohan Lab
University of Houston
Unraveling Proteomic Networks Using Bayesian Learning
Nov. 7
10:00-10:30
Recording available
Subhan Khalid
Subhan Khalid
Harrisburg University of Science & Technology, IQVIA Inc.
Characteristics and Comorbidities Influencing Mortality Risk Among Patients with Hereditary Angioedema
Nov. 7
10:45-11:15
Recording available
Steven Wilson
Steven Wilson
EcoLogic Research
Moving From Correlation to Causation: Understanding Wildlife-Habitat Relationships in Canada’s Boreal Forest
Nov. 7
11:15-11:45
Recording available
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
12:45-13:15
Recording available
Emmanuel Keita
Emmanuel Keita
AVEYO Consulting
Yi Jing & Hellixia: Modeling Ancient Wisdom with Causal AI
Nov. 7
13:15-13:45
Recording available
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
13:45-14:15
Recording available
Martin Paul Block
Martin Paul Block
Professor Emeritus
Northwestern University — Medill School of Journalism, Media, Integrated Marketing Communications
Marketing Influence Generations
Nov. 7
14:30-15:00
Charlotte King
Charlotte King
Sustainability Scientist
The Climate Consortium
Bayesian Climate Intelligence: Modeling Uncertainty Across Scope 3 Emissions and Green Chemistry
Nov. 7
15:00-15:30
Recording available
Lionel Jouffe
Lionel Jouffe
President/CEO
Bayesia S.A.S.
What Is Chance? A Philosophical Chain of Reasoning Reconstructed with LLMs and HellixMap
Nov. 7
15:30-16:00
Stefan Conrady
Stefan Conrady
Managing Partner
Bayesia USA & Singapore
Targeting with Joint Probability: Why Bayesian Networks Matter in High-Dimensional Decision Models
Nov. 7
16:00-16:45

Previous Conferences

Our conference archive 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
2025 BayesiaLab Conference – Bayesia