Christopher Teixeira

Christopher Teixeira

Department Chief Engineer

The MITRE Corporation

Biography

Christopher Teixeira is a Department Chief Engineer in the Public Health Systems Innovation and Transformation Department within the CMS Alliance to Modernize Healthcare (Health) Federally Funded Research and Development Center (FFRDC). He’s responsible for providing his expertise in statistics, applied probability, modeling and simulation, and operations research to a variety of challenges that the federal government faces. In particular, he works directly with multiple federal agencies to identify potential solutions to the challenges they face and how best to use data to drive decisions they need to make. This includes helping them distinguish between the advantages and differences of varying analytical techniques. This breadth of knowledge and applications has led Chris towards becoming an expert at shaping efforts with sponsors including writing the contract language, cost proposals, and technical proposals across multiple efforts over the years. In addition, as Chief Engineer, Chris provides oversight to an average of 10 projects a year, ensuring sounds technical approaches and designing risk mitigation strategies.

Chris served in a variety of roles over the course of his career at MITRE. He first joined as an individual contributor serving several sponsors by applying his background in Applied Statistics and Operations Research. This includes supporting 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.

Interests
  • Data Analytics
  • Applied Statistics
  • Operations Research
Education
  • MS in Operations Research, 2010

    George Mason University

  • BSc in Mathematics, 2006

    Worcester Polytechnic Institute

Skills

R

100%

Statistics

75%

Operations Research

75%

SAS

50%

Python

75%

SQL

100%

Baseball

100%

Football

75%

Running

50%

Experience

 
 
 
 
 
The MITRE Corporation
Principal Data Scientist
Jul 2014 – Present Massachusetts

As Principal Data Scientist, I apply my expertise in machine learning, statistical modeling, data engineering, and data visualization to lead teams through solving some of the federal government’s largest challenges. I provide oversight to a number of projects each year that includes reviewing code, establishing technical approaches to public health challenges, and meeting with customers to align projects with their challenges.

I apply my data science expertise to business development activities through drafting proposals, refining hiring processes, and establishing a system for rewarding projects that impact public health. In addition, I’ve reviewed research proposals for our internal research program and advise research teams in developing materials to communicate their technical concepts to broader audiences.

 
 
 
 
 
Epsilon
Senior Analytic Consultant
Aug 2012 – Jun 2014 Massachusetts

I supported 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 served 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 producing code samples in multiple programming languages.

 
 
 
 
 
IBM
Advanced Analytics Senior Consultant
Nov 2011 – Jul 2012 Virginia

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.

 
 
 
 
 
SAIC
Operations Research Analyst
Jun 2006 – Oct 2011 Virginia

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.

Projects

This list of projects represents the details of my experience across my career and how I supported customers’ decision making on complex challenges.

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