I'm currently building a neurotech company as a part of Entrepreneur First's 1st US cohort. My current focus is on developing novel assistive devices that leverage neural data, generative models, and natural language processing to enable rich and adaptive interactions between machines and the human brain.I have over four years of research experience in various machine learning techniques, such as reinforcement learning, Bayesian deep learning, image recognition, and autoencoders, as well as cloud computing technologies, such as AWS and Docker. I am also a computer science PhD student at Tufts University, where I conduct ongoing research on the integration of fNIRS neural data with a deep reinforcement learning agent. My mission is to apply my knowledge and skills to create innovative and impactful solutions for real-world problems.