2025 BayesiaLab Conference Agenda
Stefan Conrady
Managing Partner
Bayesia USA & Singapore
Welcome & Introductory Remarks
Nov. 6
09:00-09:15
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
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
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
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
John Carriger
Carriger Analytics Group
From Prediction to Implementation: Results Chains with Bayesian Networks for Decisions Under Uncertainty
Nov. 6
11:30-12:00
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
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
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
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
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
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
Tony Sun
Lead Data Scientist
Lowe's Companies Inc.
Supply Chain Optimization with Bayesian Intelligence
Nov. 6
15:15-15:45
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
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
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
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
Vinaika Maruvada
Ph.D. in Biomedical Engineering, Mohan Lab
University of Houston
Unraveling Proteomic Networks Using Bayesian Learning
Nov. 7
10:00-10:30
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
Steven Wilson
EcoLogic Research
Moving From Correlation to Causation: Understanding Wildlife-Habitat Relationships in Canada’s Boreal Forest
Nov. 7
11:15-11:45
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
Emmanuel Keita
AVEYO Consulting
Yi Jing & Hellixia: Modeling Ancient Wisdom with Causal AI
Nov. 7
13:15-13:45
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
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
Sustainability Scientist
The Climate Consortium
Bayesian Climate Intelligence: Modeling Uncertainty Across Scope 3 Emissions and Green Chemistry
Nov. 7
15:00-15:30
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
Managing Partner
Bayesia USA & Singapore
Targeting with Joint Probability: Why Bayesian Networks Matter in High-Dimensional Decision Models
Nov. 7
16:00-16:45