Risk 2026 Program

Day 1: Wednesday, February 18, 2026

All times Eastern

Start Time	End Time	Duration	Title of Talk	Speaker and Title (affiliation)
8:00 AM	9:00 AM	60 mins	Keynote: When Everyone Can Code, What’s a Quant Still For?	JD Long, CTO at Palomar, co-author of R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics
9:10 AM	9:50 AM	40 mins	Fully Reproducible Model Validation Reports Using Docker, R, Quarto, {renv} and {targets}	Michael Thomas, Chief Data Scientist, Ketchbrook Analytics
9:55 AM	10:35 AM	40 mins	The Distributions Tailored to Skewed and Fat Tails in the FatTailsR Package	Patrice Kiener, Président - CEO, Inmodelia
10:40 AM	11:20 AM	40 mins	Financial Dependence via ISE100 via vine copulas: R packages for risk modeling	Ö. Ozan Evkaya, Lecturer in Statistics, School of Mathematics, University of Edinburgh; part-time remote lecturer, Istinye University
11:25 AM	12:05 PM	40 mins	Identifying Critical Participants in the SIC Payment System with R	Julius Mattern, Senior data scientist, Swiss National Bank Christoph Meyer, Senior data scientist, Swiss National Bank
12:10 PM	12:50 PM	40 mins	Agentic R Workflows for High-Stakes Risk Analysis	Greg Michaelson, Co-founder and Chief Product Officer, Zerve
12:55 PM	1:35 PM	40 mins	How the R packages NumericEnsembles and LogisticEnsembles can return the best possible results for data sets related to risk	Russ Conte, Independent consultant
1:40 PM	2:20 PM	40 mins	A Bayesian R Framework for Quantifying Cyber Risk Using the FAIR Model and MITRE ATT&CK	Joshua Connors, Cyber Security Risk Management Engineer, Viasat

Day 2: Thursday, February 19, 2026

All times Eastern

Start Time	End Time	Duration	Title of Talk	Speaker and Title (affiliation)
8:00 AM	8:15 AM	15 mins	Defining Granular Risk Groups: A Reproducible Workflow for Multi-Threshold Survival Analysis	Payton Yau, Lecturer in Computational Biology, Nottingham Trent University (UK)
8:15 AM	8:30 AM	15 mins	Risky viz	Cara Thompson, Data visualisation consultant
8:30 AM	8:45 AM	15 mins	Conformal Inference & Calibrating Uncertainty with a Three-Way Split	Frank Hull, Director of data science & analytics
8:45 AM	9:00 AM	15 mins	Lightweight Transfer Learning for Financial Forecasting Using Quasi-Randomized Networks	Thierry Moudiki, Founder and lead, Techtonique LLC
9:00 AM	9:15 AM	15 mins	Shiny Apps for Time Series Analysis and Extremes in Hydrology	Alonso Arriagada M., Senior Hydrologist Engineer, AUSENCO
9:15 AM	9:30 AM	15 mins	From Forecasts to Action: A Data Pipeline for Air Quality Monitoring and Notifications	Björn Bos, Environmental and behavioral economist, University of Hamburg
9:30 AM	10:10 AM	40 mins	DWD Temperature Explorer: An Open-Access R Shiny Dashboard for Climate-Informed Risk Governance in Germany	Dr. Cesar Ivan Alvarez, Research Scientist, Chair of Climate Resilience of Cultural Ecosystems, Center for Climate Resilience, University of Augsburg, Germany
10:15 AM	10:55 AM	40 mins	mcmodule: An R Package for Multi-Pathway Monte Carlo Risk Assessment	Natalia Ciria, Veterinarian and PhD candidate in Epidemiology, Department of Animal Health and Anatomy, Autonomous University of Barcelona (UAB)
11:05 AM	11:45 AM	40 mins	Mapping the Unknown During an Active Outbreak: Lessons from Geospatial Risk Modelling of Oropouche Virus	Anna Frühauf, MD/PhD Candidate, Virus Epidemiology, Charité - Universitätsmedizin Berlin
11:55 AM	12:15 PM	20 mins	Final Remarks	Terry Christiani, Executive Director, R Consortium