Sean M. Tatman

Senior Associate Analyst

Mr. Tatman has experience in modeling and simulations. He is the project manager for the IDI team simulating shipping ports using ExtendSim to analyze the impact of interruption to operations due to natural disaster, etc. He has evaluated predictive performance of inference enterprise models. The models use a variety of detectors to predict typical employee behaviors related to insider threats. Tools for the enterprise models have included a Keras a deep learning python library and DBSCAN a clustering package/algorithm in R.

He also analyzed Anomaly Detection in Bio-Surveillance using Bayesian Networks in Netica and R. He Supported the Route Reconnaissance and Clearance Training Simulator Business Case Analysis (R2C Sim BCA), aiding in development of the mathematical optimization tool that generated best portfolio of training technologies based on a myriad of training requirements by different engineering units at varying Marine Corps locations.

Mr. Tatman also has experience developing instructional materials and documenting code.  He prepared instructional material (Powerpoint slides and class examples) for machine learning and discretization of continuous variables for “Bayesian Networks using Netica” professional short course. He created coaching materials to aid customer in creating diagnostic models, e.g. diesel generators. He created a quickly updateable developer’s guide for a Real Time Evacuation Planning Model (RtePM) with the Virginia Modeling, Analysis and Simulation Center (VMASC), and developed documentation for the verification and validation phase of the project.

Mr. Tatman has a M.S. in Data Analytics Engineering at George Mason University. As part of his coursework he has analyzed the benefits of NetGalley, a service for the publishing industry to gain reviews of books before release. He performed statistical analysis to model fast-food chain restaurant’s revenue based on location and other factors in SAS programming language. He also participated in a design exercise building an analytical tool to combat gang violence.


M.S Data Analytics Engineering, George Mason University, (2017)
B.S. Mechanical Engineering, University of Virginia, 2011

Selected Publications and Presentations

Tatman, J. Hepler, A. Smith, G. Tatman, S. et al. “Combining Technology and Soft Skills in the Bayesia Expert

Knowledge Elicitation Environment (BEKEE)”, INFORMS 2014, TD 61, pp 350.