Data Analysis

Understanding how datasets in a massive data lake relate to one another is incredibly difficult because documentation is usually outdated. Instead of looking at static, broken files, this research takes a radical approach: it discovers data relationships by analyzing how people actually use the data. Solving this reduces manual data cleaning and helps organizations automatically map out how their data flows and changes in real time.

Tags: 1st years, Experienced 1st years, 2nd year +, 3rd year +, Data Analysis, Basic Programming

Healthcare data can reveal important insights that improve patient care, but analyzing it is challenging. Analysts must explore complex datasets, generate and test hypotheses, and interpret results carefully. While Generative AI can assist by creating code, visualizations, and insights, it does not always understand users' goals and can sometimes produce unreliable results. This project explores how teams of AI agents can collaborate with humans to support healthcare data analysis. We will design new interaction techniques that help people communicate their intent, understand how AI-generated results were produced, and assess whether those results are trustworthy. By making human-AI collaboration more transparent and reliable, this research aims to help healthcare professionals gain insights from data more effectively and make better-informed decisions.

Tags: Web Development, Data Analysis, Human Computer Interaction (HCI), Artificial Intelligence, All Years