An exploration of compressed sensing fMRI time series with 3 different algorithms. Typically, compressed sensing reconstructs a single volume of MRI but fMRI are composed of many volumes; sensing along the time domain could reduce the number of volumes required. Of the 3 algorithms, BSBL-BO performed the best with the error curve elbowing around 30% subsampling.

Built a JetBot + an exploration and novice implementation of motion planning on said JetBot. This computational game theory project marked my first foray into optimization and a glimpse of its power muahahaha. It ain’t exquisite but it was heading in the right direction.

Neural network automated verification of a VAE and SegNet using NNV. Although neural networks are promising, they are easily confused, particularly if the input domain is perturbed. In this project, I demonstrate the robustness of MNIST-trained VAE and SegNet against varying brightness attacks.

Visualizing the resulting link prediction graph from a temporal graph network on a Wikipedia dataset using Observable and d3.js.

Implementation of face detection / following and vSLAM on a Ryze Tello using its MATLAB toolkit.

I fell in love with dimensionality reduction when I was learning statistical ML. Since I also study neuroscience, I wanted to practice the art at the intersection of my interests. I compared the 3D projections of a 53-dimensional neurophysiology dataset produced by PCA and a shallow autoencoder.