Christopher Teixeira is the Acting Department Head for the Model-Based Analytics Department within MITRE. He is responsible for leading a department of about 50 individuals with backgrounds in policy, statistics, modeling and simulation, operations research, and data visualization expertise. As the Acting Department Head, he helps staff navigate their careers, evaluate their performances, and identify training opportunities to grow their technical skills. In addition, he works alongside federal sponsors to help identify potential solutions to challenges, writing up proposals, and working through the contracting process to establish new projects appropriate for staff in the department.
During his tenure at MITRE, he has supported multiple federally funded research and development centers across a variety of projects, such as supporting the Department of Energy in understanding how to safely and effectively treat nuclear waste and helping the Veterans Benefits Administration use sophisticated modeling techniques to better serve veterans. Recently, Christopher led a project that used a variety of advanced analytical techniques to define and identify opioid prescribing behaviors. In this role, he led a team of 20 data scientists and presented this material in public meetings to a group of Chief Medical Officers, State Commissioners, public health experts, and data scientists. He earned an M.S. in operations research from George Mason University and a B.S. in mathematics from Worcester Polytechnic Institute.
MS in Operations Research, 2010
George Mason University
BSc in Mathematics, 2006
Worcester Polytechnic Institute
I support multiple clients by using various analytic techniques including but not limited to Optimization, Data Mining, Natural Language Processing, and Machine Learning. These skills are applied through a combination of R, Python, SAS, and Netezza.
I serve as one subject matter experts in the following areas: NLP and text analytics, optimization, and big data solutions. Typical duties include hosting “lunch and learns”, providing support on business development efforts, and produce code samples in multiple programming languages.
Worked with a team to determine the best use of IBM’s analytical skills to help Aetna improve their business. Modified a SAS multiplicative regression model to be more flexible with data and improve efficiency. Determine the important factors in improving care management efficiency for existing programs at Aetna.
Supported JIEDDO using various analytical techniques including Analytic Hierarchy Process and Regression Analysis. Created and tested a metric to help support decision making for various groups of people working with JIEDDO. Improved existing products in Excel and Access using SAS code. Created SAS Stored Processes to help streamline report generation. Improved raw data cleansing and formatting using regular expression parsing. Streamlined a process to parse XML files and create new databases from the results. Developed SAS stored processes to support business intelligence and analytics. Designed a database to enhance reporting and help determine an optimal solution to a resource allocation problem.
As an Operations Research Analyst, I had the responsibility for taking a list of directions and being able to produce a solution with little to no guidance. This involved working with EXCEL, VBA, SAS, ARENA, and AnyLogic.
I was responsible for the team of interns. I worked with other SAIC employees to both screen and interview applicants for the Operations Research internships. I provided a list of tasks, providing feedback on work, and supervised the team of interns.
This list of projects represents the details of my experience across my career and how I supported customers’ decision making on complex challenges.