|
|
Leadership of Rice Analytics
Dan Rice is President of Rice Analytics. Dan founded this business in early 1996 as a sole proprietorship, but it was incorporated into its current structure in 2006. Prior to 1996, he was an assistant professor at the University of California-Irvine and the University of Southern California. Dan has almost 25 years of research project and advanced statistical modeling experience for major organizations that include the National Institute on Aging, Eli Lilly, Anheuser-Busch, Sears Portrait Studios, Hewlett-Packard, UBS, and Bank of America. He has a Ph.D. from the
University of
New Hampshire in Cognitive Neuroscience and Postdoctoral training in Applied Statistics from the University of California-Irvine. Dan is a previous recipient of an Individual National Research Service Award from the National Institutes of Health and is author of more than 20 publications, many of which are in conference proceedings and peer-reviewed journals in cognitive neuroscience and statistics. Rice was the lead author of two peer reviewed papers in the 1990's that together gave the first suggestion based upon brain imaging and cognitive memory correlations that Alzheimer's disease has a preclinical stage of about 10 years. This idea was not accepted at the time, but has now become widely accepted in the biomedical research community. In 2010, the National Institute on Aging issued new diagnostic guidelines for Alzheimer's disease based upon much more sophisticated brain imaging measures to reflect this 10 year preclinical phase. Since the mid 1990's and as a part of his consultancy activities, Dan has been interested in the development of a reduced error form of regression - Reduced Error Logistic Regression (RELR). RELR reflects his long standing interest in a model of automatic cognitive machine learning that overcomes problems in standard statistical modeling and machine learning related to error, multicollinearity, dimensionality, and lack of parsimony. In the past few years, he has given invited addresses on RELR at the SAS M2007, Shop America, and Classification Society conferences, and contributed papers on this same topic at Psychometric Society, Joint Statistical Meetings, and SAS MWSUG. RELR is useful in applications ranging from clinical and pharmaceutical research to marketing and marketing research to finance and credit scoring to text mining and natural language processing and Dan's career spans all of these applications.
Ted Wroblewski is Vice President of Business Development at Rice Analytics. Ted had over 14 years of software and analytical sales experience that included 7 years at IBM before joining Rice Analytics in 2007. Through his career, he has provided strategic solutions to major Fortune 500 accounts such as Anheuser-Busch, Boeing, General Electric, Caterpillar, Ralston-Purina amongst others. Ted has been a significant force over the years in non-profit fund raising activities in the St. Louis area. For example, he headed up a major fund raising event at the St. Louis Forest Park Pavilion that had close to a thousand attendees and provided significant donations to the American Cancer Society. Ted holds a Bachelor of Science degree in Business Management with a Minor in Computer Science from University of Alabama. Ted played NCAA Division I baseball for the Crimson Tide as a first baseman. He was recognized there for his achievement as a student-athlete.
|
|
To learn more about how to purchase our MyRELR software product, please contact our sales office at:
Rice Analytics
10805 Sunset Office Dr.
Suite 300
St. Louis, MO 63127
314-962-2394
| |
