Undergraduate Research Assistant

Conducted ML research across two projects — COVID misinformation detection using graph-based algorithms and smart building intelligence using active learning techniques.

Key Achievements

• •Developed a rumor detection algorithm to curb COVID-related misinformation, building a Bi-Directional Graph with 4,000+ data points using Python and the Twitter API as the foundation for training the ML model
• •Transformed 5 distinct datasets, optimizing them for the Fairness AI Datasets family using Excel and Jupyter Notebook
• •Leveraged the Twitter API to generate and refine datasets pivotal for the algorithm's training and evaluation
• •Initiated a smart buildings research project with Professor Hongning Wang, laying the framework for next-generation building intelligence
• •Incorporated Active Partial Labeling and Selective Sampling for Sensor Type into the final product and pioneered methods for normalizing smart building metadata