Quantitative Work
After undergraduate school I worked at Hospital for Special Surgery and was a research assistant for a large cohort study of over 2,000 patients having joint/arthroplasty surgery for hip, knee and/or shoulders. This was my first professional experience with a large dataset of quantitive data. After HSS I also conducted Quality of Life / Outcome research collecting survey from patients have scoliosis and spine surgery on the medical journeys I coordinated. In this world, numbers matter, whether you're a private hospital aiming to have the lowest infection rate, you're a nonprofit sharing data on patient outcomes and complication rates or you're an individual getting a quote for car insurance, we live in a data-driven world. And quantitative data has had the most leverage and is common place in all fields and industries.
cross sectional look at cancer and veterans
Brown University, MPH Bio-Statistics Course Project
For the year-long course in bio-statistics we individually worked on projects of our choosing. Using BRFSS data and STATA I was curious to see if there was a correlation with all branches and all cancers. I also presented this research and working paper as a poster at the November 2017 NAGPS Graduate Research Methods Forum.
Microeconomics, statistics & Program evaluation Problem sets
Brown University, MPA Summer & Fall 2017
For these three courses we had to complete individual problem sets that facilitated the consolidation of learned material and the application of such knowledge to cases studies and real scenarios often requiring data management and manipulation, statistical calculations and critical analysis.
microECONOMICS & statistics group labs
Brown University, MPA Summer 2017
These assignments were completed in small groups and demanded we consolidate content from class lectures and use learned techniques to conduct cost-benefit analyses based off of provided data and political cases studies related to housing project grants and comparing policy options intended to impact obesity, e.g. sugary beverage-tax or calorie labeling. These labs made use of skills that could determine under-coverage, leakage, treatment effect etc.
microECONOMICS & statistics final project
Brown University, MPA Summer 2017
Our final group project consisted of a complex look at nonprofit's approach and plans for product viability for Clorin in a Zambian market considering supply, demand and influential factors such as subsidies, waste, willingness to pay, and the likelihood of retaining product users in the long run.
