The need for processing information and understanding data in many areas is a key motivation for my research. I pursue interdisciplinary research as a general focus, and I believe it is important to work in areas with direct policy impact.
I love hearing about others' questions and problems and finding ways to work with them. I want to develop methods to increase collaboration, transparency, and sharing of research.
My dissertation research focus was on statistical data privacy and confidentiality for non-traditional data problems. Specifically it involved methods for synthetic data generation and evaluation, partitioned data estimation, optimization, and computational efficiency. I completed my Ph.D. in Statistics in May of 2018 from the Pennsylvania State University.
Professional Highlights:
July 2021, I was promoted to Full Statistician at the RAND Corporation.
In August 2018, I started as an Associate Statistician for the RAND Corporation.
September 2016 through August 2017 I was funded by the U.S. Census Bureau as a dissertation fellow on statistical disclosure control methods.
I spent the summer of 2016 as a summer associate at the RAND Corporation working on assessing the effectiveness of Army advertising for generating recruits.
I spent the summer of 2015 as a visiting research fellow at the Administrative Data Research Centre - Scotland working on synthetic data methods for disclosure control.
During academic years 2014 and 2015 I was a trainee with the Big Data Social Science IGERT at Penn State. A collaborative NSF grant for PhD students from the social sciences, statistics, and computer science.
Google Scholar
Github (recently I've migrated to my work VCS which isn't public)
Research Gate
I love hearing about others' questions and problems and finding ways to work with them. I want to develop methods to increase collaboration, transparency, and sharing of research.
My dissertation research focus was on statistical data privacy and confidentiality for non-traditional data problems. Specifically it involved methods for synthetic data generation and evaluation, partitioned data estimation, optimization, and computational efficiency. I completed my Ph.D. in Statistics in May of 2018 from the Pennsylvania State University.
Professional Highlights:
July 2021, I was promoted to Full Statistician at the RAND Corporation.
In August 2018, I started as an Associate Statistician for the RAND Corporation.
September 2016 through August 2017 I was funded by the U.S. Census Bureau as a dissertation fellow on statistical disclosure control methods.
I spent the summer of 2016 as a summer associate at the RAND Corporation working on assessing the effectiveness of Army advertising for generating recruits.
I spent the summer of 2015 as a visiting research fellow at the Administrative Data Research Centre - Scotland working on synthetic data methods for disclosure control.
During academic years 2014 and 2015 I was a trainee with the Big Data Social Science IGERT at Penn State. A collaborative NSF grant for PhD students from the social sciences, statistics, and computer science.
Google Scholar
Github (recently I've migrated to my work VCS which isn't public)
Research Gate
