Neural Engineering and the Self
As neural interfaces become increasingly sophisticated, the relationship between biological computation and human essence grows complex. In our work, we explore the philosophical and functional boundaries of neuroengineering, investigating how the modification of neural information processing interacts with neural semiotics to fundamentally shape the architecture of our identity. Beyond the mechanics of electrical stimulation and signal processing, we actively contribute to the broader conversation regarding the ethical, societal, and existential implications of neurotechnology. By defining the current state and future trajectory of the field, we aim to ensure that the development of next-generation bioelectronic medicines and human augmentation devices remains deeply rooted in a responsible understanding of the human condition.
Artificial-Biological Intelligence Interfacing
The modern landscape of artificial intelligence is built upon artificial neural networks, architectures originally inspired by our understanding of biological neural networks. In a compelling full circle, we are now exploring how to leverage these artificial networks to enhance the biological networks of our students. We investigate the strategic integration of generative AI into engineering curricula, specifically assessing how tools like large language models can streamline routine tasks and foster deeper cognitive engagement. By piloting the incorporation of AI into human-centered design thinking projects, we aim to understand how these technologies can elevate problem-solving, creativity, and critical analysis in the next generation of biomedical engineers.
