Education
- 2017 Ph.D., Computer Science, Nova Southeastern University (NSU), Ft. Lauderdale, Florida.
- 2005 MIM, Master of Information Management, Washington University in St. Louis, Missouri.
- 1998 BBA, Bachelor of Business Administration, Fontbonne University in St. Louis, Missouri.
Memberships
- Senior Member of IEEE
- Member of ACM
- Member of Upsilon Pi Epsilon (UPE)
- Fellow of the Life Management Institute
Books
- Heaton, J. (2015). Deep learning and neural networks (Vol. 3, Artificial Intelligence for Humans). St. Louis, MO, Heaton Research, Inc.
- Heaton, J. (2014). Nature inspired algorithms (Vol. 2, Artificial Intelligence for Humans). St. Louis, MO, Heaton Research, Inc.
- Heaton, J. (2013). Fundamental algorithms (Vol. 1, Artificial Intelligence for Humans). St. Louis, MO, Heaton Research, Inc.
Peer Reviewed Publication
- Martha M.O. McGilvray, Jeffrey Heaton, Aixia Guo, M. Faraz Masood, Brian P. Cupps, Marci Damiano, Michael K. Pasque, and Randi Foraker (2022). Electronic Health Record-Based Deep Learning Prediction of Death or Severe Decompensation in Heart Failure Patients in JACC: Heart Failure.
- Heaton, J. March (2018). Evolving continuous cellular automata for aesthetic objectives. Genetic Programming Evolvable Machines (2018).
- McElwee, S., Heaton, J., Fraley, J., & Cannady, J. (October 2017). Deep Learning for Prioritizing and Responding to Intrusion Detection Alerts. In MILCOM 2017.
- Heaton, J., McElwee, S., & Cannady, J. (May 2017). Early stabilizing feature importance for TensorFlow deep neural networks. In International Joint Conference on Neural Networks (IJCNN 2017). IEEE.
- Heaton, J. (2016, March). An empirical analysis of feature engineering for predictive modeling. In SoutheastCon 2016 (pp. 1-6). IEEE.
- Heaton, J. (2016, March). Comparing dataset characteristics that favor the Apriori, Eclat or FP-Growth frequent itemset mining algorithms. In SoutheastCon 2016 (pp. 1-7). IEEE.
- Heaton, J. (2015). Encog: Library of interchangeable machine learning models for java and c#. Journal of Machine Learning Research, 16, 1243-1247.
Employment
- 2018-present: VP, Data Scientist, Reinsurance Group of America (RGA).
- 2016-present: Adjunct instructor, Washington University in St. Louis.
- 2016-2018: Lead Data Scientist, Reinsurance Group of America (RGA).
- 2016-2016: Senior Data Scientist, Reinsurance Group of America (RGA).
- 2013-2016: Data Scientist, Reinsurance Group of America (RGA).
- 2001-2013: Lead Systems Analyst, Reinsurance Group of America (RGA).
- 2004-2006: Adjunct Professor, Maryville University.
- 1997-2004: Adjunct Instructor, St. Louis Community College at Meramec.
- 1998-2001: Software Developer, Genelco Software Solutions/Navisys.
- 1997-1998: Daughterty Systems.
- 1995-1997: Software Engineer, The Earthgrains Company.