portfolio
*work in progress* Using the data from the MLSP 2014 Schizophrenia Classification Challenge, I am working on implementing the winning code from the original challenge in Python (instead of MATLAB). This techniques uses a Gaussian Process Classifier to try to determine if a patient has schizophrenia.
This Github repository includes various algorithms that I am working on implementing from scratch in Python. Writing out the code for a particular algorithm has helped me solidify my understanding so that I can appropriately implement and optimize them in real use cases later on. This repo is a work in progress.
This web app is an interactive visualization of Trump’s FEC 2016 campaign spending data. It allows you to view and analyze how and where the Trump campaign spent election funds. You can adjust the parameters of the map and click on a cylinder to view individual purchases in a particular region. Although more difficult on …
This project builds upon work done by the UIUC Blender Lab. The Blender Lab extracted Knowledge Graphs from analyzing scientific papers about coronavirus. These graphs create connections between chemicals, genes, diseases, etc. that are discussed in these papers. To take this work a step further, we wanted to make these knowledge graphs useful for scientific …