The research paper produced from my 9 month capstone project (Non-Thesis) as part of my MS in Artificial Intelligence, focused on developing methods for applying QC on weather station data.
An ethical analysis of Large Language Models (LLMs) in US Healthcare, as part of a term long paper in PHL 546: Social and Ethical Issues in Artificial Intelligence.
A general introduction to working with databases and the GC Platform, implemented through various projects in the graduate course CS 512: Data Science Tools and Programming.
This project deals with estimating the parameters for the Polya’s distribution, specifically the: Fisher Information Matrix, Cramer-Rao Lower Bound, Maximum Likelihood Estimator, and Method of Moments.
In this project, problematic data is utilized with various machine learning models. Multiple solutions to these challenges are explored and results are compared to discover the best methods.
The final product of my summer Undergraduate Research Program and partially into my work as a Data Science Intern, the BNS3 website has been published to present findings from the pilot 2 survey.