Predicting Inpatient and Outpatient Hospitalization Rates in U.S. Counties with Alternative Data Sources
A study of using alternative data sources for predicting inpatient and outpatient hospitalization rates.
Portfolio
Self-supervised Learning with Radiology Images and Reports
A study of how the sections of radiology reports contribute towards multimodal contrastive learning representations.
Sensationalism and Gender Bias in News Headlines using Fine-tuned Summarization Models
A study of gender bias and sensationalism on summarization models fine-tuned for headline generation.
Software Productivity Analysis of High-Performance DoE Projects
A project focusing on the analysis of software productivity in high-performance DoE Git projects.
Reverse Engineering Adversarially Constructed Text
A project that introduces a dataset and detection pipeline for identifying and understanding the characteristics of adversarial texts on NLP models.
Ranking Cryptocurrency Exchanges by Trustworthiness
An undergraduate thesis that explores the perception of cryptocurrency exchange trustworthiness by users with a quantitative metric.