Learn Data Science Tools for Your Research

Join us for two events in early 2023 to learn about data science tools and approaches for your research, hosted by NVIDIA, Amazon Web Services, Four Points Technologies and DoIT.

NVIDIA: The Art of the Possible

Learn how GPU-based computing is enabling advanced computing approaches in a variety of disciplinary domains. NVIDIA presenters will demonstrate their latest machine learning applications. You’ll learn about NVIDIA and UW–‍Madison GPU resources that you can use in your own research.

When: Wednesday, January 18, 2:30-3:45pm

Where: Virtual via Zoom only

Prior to the event:


Day of the event: 

Attend via Zoom

Amazon Web Services (AWS): Research Day

This workshop will highlight AWS services, for machine learning (SageMaker), serverless (Lambda, Athena) and event-driven computation, and server-based hosting. Presenters from AWS and UW-Madison will provide details about how these and similar tools are being used and how you can get started using them. You will also learn about two UW-Madison initiatives designed to help reduce the cost of cloud computing: the NIH STRIDES program for biomedical researchers and the UW-Madison F&A pilot reduction for cloud computing costs.

When: Thursday, January 19, 9am-4:30pm

Where: In-person at Rm 3139 in the Computer Science building or via Zoom

Prior to the event:

Register to attend in person

Register to attend via Zoom

Day of the event:

Attend via Zoom


Time Topic Presenter(s)
9-9:15am Welcome and Opening Remarks UW DoIT, AWS, and Four Points Technology
9:15-10am How  Amazon Web Services (AWS) Supports Research Rick Friedman, AWS Research
10-10:30am NIH STRIDES for Biomedical Research in the AWS Cloud NIH, Four Points Technology
10:30-10:40am Short Break
10:40-11:10am UW Researcher Spotlight: AWS for multiomics data analysis in brain research: A demo by Waisman Center Data Science Core Shuang Liu, Waisman Center
11:10am-noon Introduction to Artificial Intelligence/Machine Learning (AI/ML) on AWS – SageMaker Jianjun Xu (AWS)
Noon-1pm Lunch break (catered for in-person attendees)
1-1:30pm UW Researcher Spotlight: Applying Cloud Technology to Track Public Health Infectious Disease Kelsey Florek, Wisconsin State Lab of Hygiene
1:30-2pm Simplify Research Workflows with Serverless Compute (AWS Lambda) Chris Kuehn (AWS)
2-2:30pm AWS Data Storage Services Scott Wold (AWS)
2:30-2:45pm Short break
2:45-4:15pm Hands-on Lab: Amazon SageMaker Examples for Research Jianjun Xu (AWS)
4:15-4:30pm Closing Remarks UW DoIT, AWS, and Four Points