Arielle Marks Anglin
About Arielle Marks Anglin
Arielle Marks Anglin is a researcher at Mathematica, specializing in sampling designs for electronic health record studies and addressing algorithmic bias in risk prediction modeling. She holds a PhD in Biostatistics from the University of Pennsylvania and has extensive experience in research across various institutions.
Work at Mathematica
Arielle Marks Anglin has been employed as a Researcher at Mathematica since 2021. In this role, she focuses on improving sampling designs for electronic health record (EHR) based studies. Her work contributes to the organization's mission of providing data-driven insights and solutions to complex policy issues.
Previous Experience in Research and Management
Prior to her current position, Anglin worked at A+A Research as an Assistant Project Manager from 2012 to 2014. She also served as a Statistics Intern at Pfizer for one month in 2015. Additionally, she was a Graduate Research Assistant at the University of Pennsylvania from 2016 to 2021, where she engaged in various research projects.
Educational Background
Arielle Marks Anglin earned her Bachelor of Arts (BA) in Biology and Sociology from Columbia College (NY) from 2008 to 2012. She furthered her education by obtaining a Master of Science (M.S.) in Biostatistics from Harvard School of Public Health between 2014 and 2016. Anglin completed her Doctor of Philosophy (PhD) in Biostatistics at the University of Pennsylvania from 2016 to 2021.
Research Specializations
Anglin specializes in improving sampling designs for electronic health record (EHR) based studies. Her methodological focus includes conducting meta-analyses in multivariate settings to address publication bias and reproducibility issues. She also concentrates on tackling algorithmic bias and underrepresentation in risk prediction modeling.
Internships and Early Research Experience
Earlier in her career, Anglin gained valuable experience as a Research Intern at Sunnybrook Health Sciences Centre in 2010 and as a Research Assistant in the Department of Biological Sciences at Columbia University in 2012. These roles provided her with foundational skills in research methodologies and data analysis.