Short Course on Deep Learning at JSM 2025

We’re thrilled to share that a short course titled “Deep Learning Methods in Advanced Statistical Problems” will be offered at JSM 2025 in Nashville! This dynamic course will be led by Drs. Hongtu Zhu and Xiao Wang, and Runpeng Dai, and will explore cutting-edge intersections between deep learning and statistical methodology. We warmly invite all interested colleagues to take advantage of this exciting opportunity to engage with the future of statistics and AI!

Course Name

CE_01: Deep Learning Methods in Advanced Statistical Problems

Instructors

• Hongtu Zhu (UNC-Chapel Hill; The winner of the ASA George W. Snedecor Award this year)
• Xiao Wang (Purdue)
• Runpeng Dai (UNC-Chapel Hill)

Time

August 3, 2025 (Sunday): 8:30 am – 5:00 pm

Course Description

This short course is designed for researchers in statistics and data analysis who are eager to explore the latest trends in deep learning and apply these methods to solve complex statistical problems. In this course, participants will gain hands-on experience in exploring and applying deep learning methodologies to tackle statistical challenges.

Preliminary Material

Refer to the slides available on GitHub for an initial overview.