Matthew Martinez, Ph.D.
About Matthew Martinez, Ph.D.
Matthew Martinez, Ph.D., is a Senior Data Scientist at Mathematica, specializing in geospatial analysis and social network analysis. He has extensive experience in research methods, statistics, and ethical human subjects research, with a background that includes roles at various research institutions and a strong academic foundation in anthropology.
Work at Mathematica
Matthew Martinez has been employed as a Senior Data Scientist at Mathematica since 2022. His role focuses on applying advanced data analysis techniques to support various research initiatives. Located in the Washington DC-Baltimore Area, he utilizes his expertise in geospatial analysis and social network analysis to contribute to Mathematica's projects. His work involves complex data interpretation and the application of statistical methods to derive insights from research data.
Previous Experience
Before joining Mathematica, Matthew Martinez held several positions that enhanced his research skills. He worked as a Research Associate at the Population Reference Bureau (PRB) from 2020 to 2022 in the Washington D.C. Metro Area. Prior to that, he served as a Researcher at Fors Marsh Group from 2018 to 2020 in Arlington, VA. His early career included a role as a Top Tier Graduate Assistant at the UNLV Graduate College from 2015 to 2018 in Las Vegas, Nevada.
Education and Expertise
Matthew Martinez earned his Doctor of Philosophy (PhD) in Anthropology from the University of Nevada-Las Vegas, completing his studies from 2012 to 2018. He also holds a Master of Arts (MA) in Anthropology from the same institution, achieved between 2012 and 2014. Additionally, he obtained a Certificate in Social Science Research Methods in 2017. His educational background supports his specialization in geospatial analysis and social network analysis.
Research Skills and Methodologies
Matthew Martinez possesses a strong foundation in research methods and statistics, which informs his work as a data scientist. He is skilled in statistical programming, enabling him to manage complex data analysis tasks effectively. His expertise extends to human subjects research, where he emphasizes ethical considerations and methodologies. Furthermore, he is experienced in survey and experimental design, which enhances his comprehensive approach to data science projects.