Dr. Jeff Grover has a Doctor of Business
Administration in Finance and is founder and chief
research scientist at Grover Group, Inc. (GGI) where he specializes in Bayes’
Theorem and its application through Bayesian belief networks (BBN) to strategic
economic decision-making (BayeSniffer.com). At GGI, he specializes in blending
economic theory and BBN to maximize stakeholder wealth. He is a winner in the
Kentucky Innovation Award Winner (2015) for the application of his proprietary
BBN big data algorithm. He has operationalized BBN in the healthcare industry, evaluating
the Medicare “Hospital Compare” data; in the Department of Defense, conducting
research with U.S. Army Recruiting Command to determine optimal levels of
required recruiters for recruiting niche market medical professionals; and in
the agriculture industry in optimal soybean selection. In the area of
economics, he was recently contracted by the Department of Energy, The Alliance
for Sustainable Energy, LLC Management and Operating Contractor for the
National Renewable Energy Laboratory, to conduct a 3rd party evaluation of the Hydrogen
Financial Analysis Scenario (H2FAST) Tool (2015).
Jeff received his Doctors
of Business Administration in Finance from NOVA Southeastern (2003), MBA from ERAU
(1997), and a BS in Math from Mobile College (1987).
Jeff has published a
book, Strategic Economic Decision-Making: Using Bayesian Belief Networks to
Make Complex Decisions with SpringerBriefs (2013). Also, he has published in
the Journal of Wealth Management, the Journal of Business and Leadership;
Research, Practice, and Teaching, and the Journal of Business Economics
Research. Recently, He was a guest speaker at the MORS Conference in
Washington, DC (12/2014) where he gave a presentation on the application of BBN
in the area of terrorism.
a father of Rebecca Tabb and Jeffrey S. Grover Jr. and is also a retired US
Army Special Forces officer (2001).