Welcome. My interests lie in state space models and efficient attention mechanisms.

I am currently a senior software algorithms engineer at TDK USA Coorporation working on time series forecasting and generative modeling. Previously, I completed a machine learning research internship at TDK-Qeexo, focusing on interpretable deep learning methods.

I hold a joint PhD between the Machine Learning Department and the Program in Neural Computation from Carnegie Mellon University, where my research focused on neural manifolds, brain-computer interfaces and the mechanisms underlying learning and memory. 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 and neurobiology. During this time, I conducted research developing new methods for brain-computer interfacing.