Meeting Calendar

Upcoming events

2/27/2026, Friday 1:30-3:00pm, 

Place: Room W4030

3/6/2026, Friday 1:30-3:00pm, 

Place: Genome Cafe, Room E3609

Light lunch 1:10-1:30pm,  provided for both lectures

Zoom link: https://jh.zoom.us/j/97226595114

Short Course: Generative AI for Biostatistical Research

Lecturer: Yanxun Xu, Associate Professor, Department of Applied Mathematics and Statistics, Johns Hopkins University

Abstract: 

As biomedical data grows in volume and complexity, the ability to adapt general-purpose AI models to specific research questions becomes essential.  This tutorial is designed to equip graduate students and researchers in the biomedical fields with the practical knowledge to leverage cutting-edge generative AI tools effectively. I will begin by demonstrating how to tailor publicly available AI tools to the specialized context of biomedical studies. Students will learn the fundamentals of building private, secure chatbots using open-source Large Language Models (LLMs) and extending them into sophisticated Retrieval-Augmented Generation (RAG) systems. The second part of the tutorial addresses how to automate complex research workflows. We will explore hands-on applications such as extracting patient data from published figures (like Kaplan-Meier plots), conducting rapid landscape analyses of existing literature, and understanding the logic behind automated trial matching systems.

3/27/2026  Jiebiao Wang, University of Pittsburgh