Demystifying Data Science (hosted by GSK)

WiMLDS NC aims to provide both technical topics and professional development opportunities to our community. Join us this fall for an exciting line up of WiMLDS NC events.

Here is our first fall-event with Dr. Alyson Wilson:

All genders may attend our meetups.

Agenda

5:30 –Inroduction by the WiMLDS team

5:45 – "Demystifying Data Science" by Dr. Alyson Wilson

6:30 – Networking / Cocktail

Abstract:
Data science, machine learning, and artificial intelligence are the new buzz words -- they are being touted as the solution for everything from curing cancer to self-driving cars. Have you ever wondered how data science related to traditional statistics methods? Is data science just another name for "big data"? In this introductory overview talk, we will begin by discussing what data science is (and is not). We will then discuss some of the key principles of data science practice and conclude by examining the classes of problems and methods that are included in data science.

Bio:
Dr. Alyson Wilson is a Professor in the Department of Statistics and Principal Investigator for the Laboratory for Analytic Sciences at North Carolina State University. She is a Fellow of the American Statistical Association and the American Association for the Advancement of Science. Her research interests include statistical reliability, Bayesian methods, and the application of statistics to problems in defense and national security. She is also the Director of the NCSU Data Science Initiative and coordinator of NCSU's Data-Driven Science faculty cluster. Prior to joining NCSU, Dr. Wilson was a Research Staff Member at the IDA Science and Technology Policy Institute (2011-2013), a faculty member in the Department of Statistics at Iowa State University (2008-2011), a Technical Staff Member in the Statistical Sciences Group at Los Alamos National Laboratory (1999-2008), and a a senior statistician and operations research analyst with Cowboy Programming Resources (1995-1999). Dr. Wilson received her Ph.D. in Statistics from Duke University, her M.S. in Statistics from Carnegie-Mellon University, and her B.A. in Mathematical Sciences from Rice University.

Note: If you are unable to attend, please cancel your registration as we are expecting full capacity.