The potential for bridging computer science, neural engineering and implantable devices for new therapeutics targeting disorders of the brain and mind is well recognized. The rapidly evolving field is at an inflection point created by advances in computing, engineering, and the understanding of brain mechanisms and disease. Here I review research with my friend Professor Ravi Iyer, PhD focused on accelerating the application of machine learning and computing to devices designed to treat epilepsy and associated comorbidities. Over the past 5 years we have worked together to bridge some of the gaps between research and application to create new therapies for patients with drug resistant epilepsy. Ravi and his graduate students at University Illinois Urbana Champaign (UIUC) and my group have enjoyed a productive collaboration in the emerging field of Bioelectronics and Neuromodulation.