Department of Energy Cost and Schedule Tool
Apr 1, 2016·
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1 min read
Christopher Teixeira
Developed a discrete simulation model capable of performing lifecycle cost and schedule analysis. This model supports executives that make decisions on alternative strategies which are expected to cost on the order of tens of billions of dollars. The model, built entirely in JavaScript using SIM.JS, allows users to configure the schedule and efficiency of each alternative. After the model completes, results are displayed using a combination of D3 and TimelineJS libraries.
Authors
Christopher Teixeira
(he/him)
Data Scientist
Christopher Teixeira is a Data Scientist with extensive experience applying statistics, applied probability,
and operations research to solve complex organizational challenges. Throughout his career, he has partnered with
diverse stakeholders to drive data-informed decision-making, helping organizations navigate the nuances of various
analytical techniques to find optimal solutions. Christopher has a proven track record of delivering code in multiple languages,
leading large-scale technical efforts, and responding to technical proposals and developing relationships with customers.
He holds an M.S. in Operations Research from George Mason University and a B.S. in Mathematics from Worcester Polytechnic Institute.