Burlingame, California
September 1 – 3, 2026
AI, Analytics & Statistics
AI-119. From Prediction to Explanation: Per-Patient SHAP Attribution for a Random Forest Diabetes Risk Classifier
Leon Davoody, Student
Chary Akmyradov, Baylor College of Medicine
AI-125. From ChatGPT to Copilot, From Prompts to Workflows: Putting AI to Work Across the Clinical Programming Lifecycle
(No paper available)
Lida Gharibvand, Loma Linda University
AI-131. Introducing Source2Zahn: Automating Source-to-Target Mapping for SAS Modernization
Mike Krizan, STAT X1, Inc.
AI-139. Your PROCs Meet AI: Fuzzy vs. Semantic Matching in SLC
Yulia Horwath, Siemens
AI-145. A Weighted Deming Regression SAS Macro
Jesse Canchola, Roche Diagnostics Solutions
Brahian Urrego, IT Engagement Inc.
Natasha Oza, Roche Diagnostics Solution
AI-147. Stress Testing Your Findings: E-Values and Quantitative Bias Analysis in SAS
Mehrnaz Siavoshi, UCLA
AI-149. Smarter CRF Reviews: An Open-Source AI Tool for Automated Protocol-to-CRF Gap Analysis in Clinical Trials
Raj Sharma, Pliant Therapeutics
AI-150. A Structured Agent-Based Framework for Early-Stage Data Science Pipelines
Dheerusha Tiwari, Oklahoma State University
Siddharth Birajdar, Oklahoma State University
AI-162. Claude the SAS Programmer: Agentic AI creates SAS 9 code before your eyes
(No paper available)
Joe Matise, NORC
AI-166. Getting Started with Bayesian Analysis
Danny Modlin, SAS
AI-167. Missing Data in PROC MCMC
Danny Modlin, SAS
AI-168. The GENMOD Toolkit: What do you do when things aren’t Normal?
Danny Modlin, SAS
Careers & Professional Development
CP-124. Women’s Leadership in AI-Driven Clinical Programming
(No paper available)
Lida Gharibvand, Loma Linda University
CP-128. Followership: The Forgotten Half of Leadership
Derek Morgan, N/A
CP-135. Soft Skills to Gain a Competitive Edge in the 21st Century Job Market
Kirk Lafler, sasNerd
CP-143. Generations of SAS Analytics: Perspectives from Baby Boomers, Generation X, Millennials, and Generation Z on the Future of SAS, AI, and Data Science
Mike Krizan, STAT X1, Inc.
Stephen Sloan, Dawson D R
Kirk Lafler, sasNerd
Ryan Lafler, Premier Analytics Consulting, LLC
Lida Gharibvand, Loma Linda University
CP-148. Beyond a P-Value Vending Machine: Becoming a Research Partner, Not a Service Provider
Mehrnaz Siavoshi, UCLA
CP-183. How to Land Work as a SAS Professional in the Age of AI
(No paper available)
Charu Shankar, SAS Institute
Data Basics and Beyond
DB-110. SAS Essentials I: How SAS Thinks
Susan Slaughter, Avocet Solutions
DB-111. SAS Essentials II: Introduction to DATA Step Programming
Susan Slaughter, Avocet Solutions
DB-112. SAS Essentials III: Introduction to SAS Procedures
Susan Slaughter, Avocet Solutions
DB-120. Take CoMmanD of Your Log: Using CMD to Check Your SAS Program Logs
Richann Watson, DataRich Consulting
DB-127. The Essentials of SAS Dates and Times
Derek Morgan, N/A
DB-129. PROC SORT (then and) NOW
Derek Morgan, N/A
DB-165. Creating and Customizing High-Impact Excel Workbooks from SAS with ODS EXCEL
Josh Horstman, PharmaStat LLC
DB-175. The Top 5 Head-Scratchers with DATA Step Coding
(No paper available)
Kim Wilson, SAS
Demo Theater
DT-105. The Battle of the Titans (Part II): PROC REPORT versus PROC TABULATE
Kirk Lafler, sasNerd
Josh Horstman, PharmaStat LLC
DT-118. Building an AI-Powered Smart Car Recommendation System Using Python
Leon Davoody, Student
Chary Akmyradov, Baylor College of Medicine
DT-126. Dealing with Superscripts, Subscripts and Unicode in Tables and Figures
Kalyani Telu, EMMES
DT-142. Vuln2Zahn: Are We Winning the Vulnerabilities Battle? Measuring Cybersecurity Progress with SAS Viya Data Pipelines
Mike Krizan, STAT X1, Inc.
DT-163. Using SAS Macro Variable Lists to Create Dynamic Data-Driven Programs
Josh Horstman, PharmaStat LLC
DT-169. PROC PPF: Past, Present, and Future
Danny Modlin, SAS
DT-171. How Do I Modify SAS 9 Programs to Run in SAS Viya?
Carleigh Jo Crabtree, SAS
DT-174. Simplifying SAS Viya : Explaining the Compute and CAS Servers, Caslibs, and In-Memory Data
Carleigh Jo Crabtree, SAS
DT-176. Working with SAS and Microsoft 365 using SAS Programming
Chris Hemedinger, SAS
DT-177. What’s New with SAS 9.4 M10
(No paper available)
Chris Hemedinger, SAS
DT-184. Running Existing SAS Programs on an Independent Engine
Lawrence Sinclair, Jenner Analytics Ltd
DT-185. Letting an AI Agent Write and Run SAS Code
Lawrence Sinclair, Jenner Analytics Ltd
DT-186. What Your SAS Program Is Actually Doing
(No paper available)
Randy Betancourt, Siemens
DT-187. The Battle of the Titans: DATA Step versus PROC SQL
(No paper available)
Charu Shankar, SAS Institute
DT-188. Using SAS Enterprise Guide in SAS Viya
(No paper available)
Charu Shankar, SAS Institute
Hands-On Workshops
HW-106. The (ODS) Output of Your Desires: a Tool-kit for Creating Designer Reports and Data Sets
Louise Hadden, Independent Consultant
HW-108. SAS Macro Debugging Techniques for Mere Mortals
Kirk Lafler, sasNerd
HW-160. Macro-Powered Clinical Reporting in SAS: Automating Workflows with Automatic Macro Variables, ODS TRACE, and Reusable Table-Building Macros
Chary Akmyradov, Baylor College of Medicine
HW-170. Interactive Modeling with SAS Visual Statistics
Danny Modlin, SAS
HW-172. SAS Programming with an AI Assistant
Carleigh Jo Crabtree, SAS
Open Source & Emerging Technologies
OS-102. Demystifying Regression Analysis Techniques with R
Zheyuan Yu, Walter
Kirk Lafler, sasNerd
Zichun Gao, Stevens Institute of Technology
Jiaxin Xu, Franklin and Marshall College
Zeqi Li, Columbia University
Ruochen Shao, Maur Hill-Mount Academy
OS-113. Introducing PROC R
Jim Box, SAS Institute
OS-116. Geocoding with the Google Maps API: Using PROC FCMP To Call User-Defined SAS and Python Functions That Geocode Coordinates into Addresses, Calculate Routes, and More!
(No paper available)
Troy Hughes, Data Llama Analytics
OS-132. SQL Everywhere! Reuse your PROC SQL Code in R and Python with DuckDB
Matthew Slaughter, Kaiser Permanente Center for Health Research
Isaiah Lankham, Legacy Health
Kirk Lafler, sasNerd
OS-156. Enhancing Your SAS Viya Workflows with Python: Integrating Python’s Open-Source Libraries with SAS using PROC PYTHON
Ryan Lafler, Premier Analytics Consulting, LLC
Miguel Bravo Martinez del Valle, Premier Analytics LLC
OS-158. Building Better Data Science Workflows: Best Practices with Git, GitHub, Data Version Control (DVC), and MLflow for Open-Source Collaboration
Ryan Lafler, Premier Analytics Consulting, LLC
OS-179. An Introduction to JSON
Jim Box, SAS Institute
OS-180. Python: Unleash Your Inner Coder, A SAS Programmer’s Guide to Python
(No paper available)
Charu Shankar, SAS Institute
Pharma & Healthcare
PH-137. The Agent That Asks the Questions: Autonomous Hypothesis Generation Over CDISC Trial Data with SAS
Mehdi Hajmollaahmad Naraghi, Independent
Lida Gharibvand, Loma Linda University
PH-144. A Flexible Metadata-Driven and Modular Approach to SDTM Automation
Ruili Shi, Ascendis Pharma
Jiaying Zhang, Ascendis
Charles Chen, Ascendis
PH-146. The Living Dead in Your Cohort: Immortal Time Bias Detection and Correction in SAS
Mehrnaz Siavoshi, UCLA
PH-151. Automating SDTM Subject Visits (SV) Derivation A Configuration-Driven, Meta-Programming Approach in SAS
Huiqing Chen, Ascendis Pharma
PH-152. A Dashboard-Driven Approach to Metadata and Audit Trails with SAS Clinical Acceleration
(No paper available)
Frances Gillespie, SAS Institute
Laura Watson, SAS Institute
PH-153. If a Warning Falls in a SAS Log and Nobody Reads It: Evaluating Generative AI as a First-Pass Reviewer for SAS Enterprise Guide Logs
Patrick Leon, Keck Medicine of USC
PH-157. A Practical Roadmap for the 2026 Enterprise Generative AI Stack: AI Agent Architectures, Frameworks, and Secure Deployment for Regulated Industries
Ryan Lafler, Premier Analytics Consulting, LLC
PH-161. From Raw to Compliant: Applying Domain-Specific SAS Macros for Data Cut-Off in Clinical Trials
Ballari Sen, Bristol Myers Squibb
PH-164. Jazz Up Your Profile: Perfect Patient Profiles in SAS using ODS Statistical Graphics
(No paper available)
Josh Horstman, PharmaStat LLC
Richann Watson, DataRich Consulting
PH-178. Clinical Analytics Innovation with SAS Clinical Acceleration:
(No paper available)
Jim Box, SAS Institute
PH-182. Stop Guessing. Start Matching. High-Impact SAS PRX Patterns in 20 minutes
(No paper available)
Charu Shankar, SAS Institute
Solutions Development
SD-114. Fantasy in Three with PROC FCMP: Memoization of Resource-Intensive Calculations, in-Memory Hash Object Storage and Retrieval Operations, and Disk-Based Persistent Data Set Modification and Preservation
Troy Hughes, Data Llama Analytics
SD-115. Code Hard and Put away Wet: Replacing Hardcoded SAS Software Quality Checks with Data-Driven Design and Defensive Programming Techniques That Validate Code and Control Data
Troy Hughes, Data Llama Analytics
SD-117. OOTB (Out of the Box) Data Visualizations with SAS: An Introduction to what the ODS Graphics Statement Can Do for You
(No paper available)
Louise Hadden, Independent Consultant
SD-121. A Map to Success with Data Visualization Using ODS Statistical Graphics
Richann Watson, DataRich Consulting
Louise Hadden, Independent Consultant
SD-133. Data Step Your Workflow and Macro Your Way to Automation: Importing Thousands of Excel Reports That Aren’t Datasets
Richard Rivera, Arizona Supreme Court
Bert Cisneros, Arizona Supreme Court – Adminstrative Office of the Courts
SD-134. Automating Excel Table of Contents Generation from SAS -Produced RTF Reports Without Predefined Metadata
Joshua Lin, Eikon Therapeutics, Inc.
SD-138. Multi-Dimensional Suppression Algorithm to Preserve Privacy in Publicly Released Data
Oleg Korovyanko, Art of Problem Solving Academy
SD-154. Speeding up your Validation Process is as Easy as 1, 2 and 3
Alice Cheng, Independent
SD-173. Why Your SAS Connections Fail: Understanding TLS and Certificates
Kim Wilson, SAS
SD-181. The Log Whisperer: Still Reading SAS Logs? Start Ranking Them
(No paper available)
Charu Shankar, SAS Institute