Bridging statistics and artificial intelligence: machine learning for scientists and engineers
Watch the Keynote and Q&A
We are in the midst of one of the largest surges of analytical productivity in human history, with countless new three-way interactions between statistical methods, computer science, and deep scientific and engineering domain expertise.
In this Statistically Speaking, Russ Wolfinger, a seasoned statistical expert and Director of Scientific Discovery and Genomics at JMP, talks through several exciting modern applications with image, text, and tabular data using JMP and JMP Pro, all while providing guiding perspectives as we shoot headlong into 2025.
Q&A with the speaker is available at the conclusion of the keynote.
What you’ll learn
- How the bridge between statistical discovery and artificial intelligence can be relevant to scientists and engineers.
- Modern applications of three-way interactions using various forms of information, including image, text, and tabular data.
- How the intersection between statistics and computer science will shape data discoveries of the future.
Meet the speaker
Russ Wolfinger
Director of Scientific Discovery and Genomics
Distinguished Research Fellow, JMP
Russ Wolfinger is the Director of Scientific Discovery and Genomics at JMP. In his role, Russ leads a team in the research and development of JMP software solutions for the life sciences. He joined SAS in 1989 after earning a Ph.D. in Statistics from North Carolina State University (NCSU). For 10 years, he devoted his efforts to developing and promoting statistical procedures for mixed models and multiple testing. In 2000, he started the Scientific Discovery department at SAS and JMP.
Russ is co-author of more than 150 publications, four books, and is the most cited author at SAS. He is a Fellow of both the American Association for the Advancement of Science and the American Statistical Association, an adjunct faculty member at NCSU and the University of North Carolina at Chapel Hill, and a Kaggle Competition Grandmaster.