I am a computational scientist with a background in computational and systems neuroscience. My dissertation investigated how certain types of connectivity patterns can produce computationally useful dynamics in recurrent neural networks.

My primary project focused on developing neural network models of memory replay. I also analyzed neural data collected from rodents performing memory-guided tasks to inform and validate my models.

Having recently completed my Ph.D., I am now looking to transition to a role where I can apply my expertise in machine learning and data analysis to solve complex data-driven challenges in industry.