Welcome. I recently completed a machine learning research internship at TDK-Qeexo, focusing on the development and application of interpretable deep learning methods.
I hold a joint PhD between the Machine Learning Department and the Program in Neural Computation from Carnegie Mellon University, during which I extensively researched the application of machine learning principles and statistical models to understand learning mechanisms in the brain and their relationship with artificial neural networks. I also hold a master's degree in machine learning from Carnegie Mellon.
Prior to this, I worked at a startup called Neubay, building deep learning models. I did my undergraduate at the University of Washington in computer science. During this time, I conducted research developing new methods for brain-computer interfacing.
