WAA: Tampa Bay Chapter Founders’ Day

Join the WAA: Tampa Bay Chapter for a spirited Founders’ Day celebration! Connect with fellow alumni and explore the fascinating world of artificial intelligence (AI) with Kyle Cranmer MA’02, PhD’05, UW professor of physics and the David R. Anderson Director of UW–Madison’s Data Science Institute. Don’t miss this unforgettable evening of learning, networking, and fun — all set against the stunning backdrop of the Tampa skyline at the elegant Tampa Club!

The cost is $60 per person or $50 for recent graduates (Class of 2017 or later). Your ticket includes a delicious buffet dinner with fresh salads, sage-roasted turkey breast, garlic-whipped potatoes, green beans, dessert, and coffee service. You’ll also receive one drink ticket, with additional beverages available for purchase at the cash bar.

Register by May 21.

About the Program

Enjoy a special presentation:

Artificial Intelligence (AI) Is Here: What You Need to Know!

With artificial intelligence becoming commonplace in today’s world, how will it transform industries, daily life, and the future of work? This timely presentation by Professor Kyle Cranmer will break down key AI concepts, real-world applications, and what you need to know to stay ahead in an AI-driven world.

Event Schedule

6 p.m. | Check-in, cocktails, and socializing
6:45 p.m. | Buffet dinner
7:15 p.m. | Presentation with Q & A
9 p.m. | Event concludes — thanks for joining us!

About the Speaker

Kyle Cranmer MA’02, PhD’05 is the David R. Anderson Director of the UW–Madison Data Science Institute (DSI). A professor in the Department of Physics with affiliations in the Departments of Computer Sciences and Statistics, he is dedicated to expanding interdisciplinary engagement with data science and addressing its societal impact, particularly on marginalized communities. His vision for the DSI aligns with the Wisconsin Idea, emphasizing community engagement and trust-building to showcase how data science can positively transform lives and the world. Cranmer’s path into data science began with his groundbreaking contributions to the discovery of the Higgs boson, a particle essential to understanding the universe’s fundamental structure. By pioneering collaborative statistical modeling techniques, he enabled thousands of scientists to analyze massive particle collision datasets, leading to the landmark 2012 Higgs boson discovery. His research now spans astrophysics, neuroscience, and biology, shaping the global conversation on data science and machine learning.

Additional Information

Free on-site parking is available. Detailed information and directions can be found here.

When you register, please let us know if you have any dietary restrictions or require accessibility accommodations.