Children at Risk Research

Dec 1, 2015·
Christopher Teixeira
Christopher Teixeira
· 1 min read
#StopChildAbuse
project Machine Learning

The Children at Risk research project looks at which information is important at determining which children under the age of ten are at higher risk for fatality due to abuse and neglect. Leading a small team, we’ve collected data from multiple parts of a local Health and Human Services Agency to bring together and understand some of the data quality issues that might exist in other HHS agencies. We use R (specifically the CARET library) to identify which factors are the most important in determining children who are at higher risk due to fatality. Using this information, we hope to design a data visualization tool that will help caseworkers identify those children at higher risk of fatality due to abuse and neglect.

Christopher Teixeira
Authors
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.