I'm an ISEF finalist; my project was on using machine learning to identify potential biomarkers for Chagas Disease in urine.
In GMU's Center for Applied Proteomics and Molecular Medicine, I worked under professors Alessandra Luchini and Lance Liotta over 1.5 years. I completed projects in analyzing mass spectrometry results with statistical and machine learning methods to search for markers of Lung Cancer, Lyme Disease, Babesiosis, and Chagas Disease. Here, I learned wet lab and bioinformatic techniques, as well as the patience research process.
I spent a semester completing an independent study in Professor Chen Sun's PALM lab, working on engineering methods in deep learning to detect object state and localization.
For CS2952N, my team and I completed a research project exploring a novel method for training generalist/multitask agents via a Shared Uniform Space (SUS), allowing a model to complete tasks accurately without providing knowledge of input modality thus preventing the formation of sub-networks within the weight space. You can find the report here.