I am a sophomore undergraduate at Johns Hopkins University studying Biomedical Engineering and Applied Math. At the moment, I am engaged in several commitments in order to be as engaged as possible with my resources. Beyond classes, I am working with data in my design team to make an acoustic tonometer that classifies high versus low eye pressure in patients with limited access to glaucoma care. I am also working on an AI therapy supplement for students in university to converse with during times of acute but mild mental stress. To stay engaged with my peers at school, I am a senator for Hopkins' Student Government Association, where I maintain relations between organizations and organize their financials. Finally, I joined a research lab where I am investigating how to discern fMRI data from EEG signals using machine learning algorithms. Overall, I aspire to maximize my education here by consistently learning in as many areas as I can.Experience: Engineering Projects, R&D, Grant writing, Intellectual Property, Licensing, Protocols, V&V, Presenting, Python and Javascript for LLMs, Flask, React, Arduino for Bioelectronics, Python and MATLAB for Machine LearningCurrent Passions: Human-Machine Intelligence, Generative AI, LLMs, Data Science, Brain-Computer Interfaces