Carnegie Mellon University (August 2015 - May 2021)

Both degrees were attained from the Department of Statistics and Data Science at Carnegie Mellon University.

Master’s of Statistical Practice (2021)

My university research centered on the effectiveness of mask mandates in spurring mask compliance and prevelance of Covid-19 in communities. I worked with Dr. Alex Reinhart using data from Carngie Mellon’s Delphi Group and the University of Washington’s Covid-19 State Policy Group to quantify the marginal effect of county and state-level mask mandates. Earlier research focused on the development of a modern statistical learning tool in conjunction with Dr. Philipp Burckhardt under the supervision of Dr. Rebecca Nugent. The tool, ISLE, tracks student progress while making data science interactive at all stages of the development lifecycle.

B.S. in Statistics and Machine Learning (2019)

I received my BS in Statistics and Machine Learning from Carnegie Mellon University in 2019. During my time as an undergrad, I was heavily involved in the development and implementation of 36-200, the first-semester introductory statistics course using ISLE. Additionally I was active in residence life as a resident assistant for two years and a head RA during my senior year managing a team of 10 RAs and 300 first year residents.

Seton Hall Preparatory School (2011 - 2015)

• National Merit Commendation
• Medallion for Excellence in Statistics