Day #1 – Wednesday January 28th, 2026
Objective #1. To Understand the Promises and Pitfalls of Artificial Intelligence in Clinical Research Using Real-World Data

9:00AM – LECTURE
Speaker: David Carlson
Title: Best Practices in Artificial Intelligence for Collaborative Medical Research

10:00AM – LECTURE
Speaker: Ricardo Henao
Title: Introduction of Natural Language Processing Applied to Medical Research

**11:00AM – Coffee Break**

11:15AM – LECTURE
Speaker: Dylan Thibault
Title: Use of Large Language Models in Research Analytics

12:15PM – LECTURE
Speaker: Chengxin Yang
Title: Best Practices in Using AI for Replication in Observational Research

**1:15PM – Lunch**

2:15PM – LECTURE
Speaker: Feng Guo, Virginia Tech University
Title: AI-Driven Traffic Safety Research

3:00 – LECTURE
Speaker: Monica Agrawal
Title: Large Language Models for Real-World Evidence Generation

**3:45PM – Coffee Break**

4:00 – LECTURE
Speaker: Ricardo Henao
Title: Integrating Multi-Modal Data for Medical Research

4:45PM – Closing remarks/logistics for remaining days

5:00PM – CLOSE

Day #2 – Thursday January 29th, 2026
Objective #2. To Review Foundational Methods of Causal Inference and Econometrics Applied to Real-World Data

9:00AM – LECTURE
Speaker: Brian Mac Grory
Title: Causal Inference – The Clinician’s Perspective

10:00AM – LECTURE
Speaker: Jay Lusk and Brian Mac Grory
Title: Hospital Implementation of Endovascular Thrombectomy and Health Equity in Ischemic Stroke Outcomes

**11:00AM – Coffee Break**

11:15AM – LECTURE
Speaker: Emily O’Brien
Title: Population-Scale Rea-World Data for Cardiovascular and Neurological Outcomes

12:15PM – LECTURE
Speaker: Jay Lusk
Title: Target Trial Emulation

**1:15PM – Lunch**

2:15PM – LECTURE
Speaker: Ryan McDevitt, Washington University
Title: Consolidation, Acquisition, and Quality of Care in the Dialysis Industry

3:00PM – LECTURE
Speaker: Laine Thomas
Title: Target Trial Emulation for Time-Dependent Treatments: Statins in the Framingham Heart Study

**3:45PM – Coffee Break**

4:00 – LECTURE
Speaker: Ryan McDevitt, Washington University 
Title: Quality of Care at Private Equity Providers Some Past Results & Some Open Questions

4:45PM – Closing remarks/logistics for remaining day

5:00PM – CLOSE

Day #3 – Friday January 30th, 2026
Objective #3. To Examine the Interplay Between Real-World Data and Clinical Trial Design, Conduct, and Analysis

9:00AM – LECTURE
Speaker: Anqi Zhao
Title: Rerandomization in Practice: Ensuring Covariate Balance in Pragmatic Trials

10:00AM – LECTURE
Speaker: Chuan Hong
Title: Optimizing Clinical Trial Recruitment Using EHR Data

**11:00AM – Coffee Break**

11:15AM – LECTURE
Speaker: Fan Li
Title: Propensity Score Analysis in Analyses of Clinical Trials and of Real-World Data

12:15PM – LECTURE
Speaker: Emily O’Brien
Title: Patient-Reported Outcome Measures & Measurements in Embedded Pragmatic

Clinical Trials

**1:15PM – Lunch**

2:15PM – LECTURE
Speakers: Laine Thomas
Title: Integrating Real-World Data and RCTs: Methodology Tutorial

3:15PM – Closing remarks

3:30PM – CLOSE