I am excited about pushing the boundaries of computing by developing fast and efficient algorithms. I currently investigate how to model human-like memory for AI agents at Lockheed Martin drawing inspiration from recent work on reinforcement learning, information theory, attention mechanisms, and neuroscience. My current projects include analyzing and developing new quantum optimization algorithms, leveraging machine learning for early identification of seizures, and novel approaches for implementing reinforcement learning for games. I have previously researched algorithms for quantum error correction and how information is propagated in the brain. I have experience developing large software projects with accuracy and efficiency in mind. I am passionate about opportunities to create efficient and effective computation solutions to meaningful problems.