|Sign up for this event!||Register|
Date: April 13th, 2017 from 5:30pm to 7:00 p.m. CST
Online presentation will begin at 6:00pm.
Location: Houston, TX - CityCentre Three, Suite 200 (Texas A&M University-Mays Business School facility) or attend via live video stream
Cost: There is no cost to attend this event.
This is an opportunity to visit with current faculty, staff, and students. Information about the need for individuals with deep analytical skills will be shared. A full program overview of the curriculum, faculty, and admission process will be given.
Reserve your seat any time before April 13th. Dress is business casual. Dinner will be available free of charge. If your plans change and you cannot attend after registering, please let us know.
|Dinner & Casual Conversations with Current Students, Faculty, and Staff||5:30pm|
|Welcome & Presentation (available live online)||6:00pm|
Dr. Simon Sheather
Dr. Simon J. Sheather is a Professor and Academic Director of MS Analytics & Online Programs in the Department of Statistics at Texas A&M University. He joined the Texas A&M faculty in 2005. From 1987 to 2005 he was a faculty member at the Australian Graduate School of Management (AGSM) at the University of New South Wales. In 2001, Dr. Sheather was named an honorary fellow of the American Statistical Association.
Since 2006, Simon has been listed on ISIHighlyCited.com, among the top one-half of one percent of all mathematical scientists, in terms of citations of his published work. Simon holds a BSc (Hons) degree (Melbourne) and a Ph.D. in Statistics (La Trobe). His research interests are in the fields of nonparametric and robust statistics and flexible regression methods. Simon has extensive consulting experience, particularly in the application of statistical methods to business situations.
He has worked with clients from a range of industries including banking, biotechnology, hospitality, fashion, transport, real estate and consumer products as well as government. Simon has published more than 70 papers in prestigious journals such as the Journal of the American Statistical Association, Technometrics and the Journal of the Royal Statistical Society and has published two books.