Mark I
- Research Program Mentor
PhD at Johns Hopkins University
Expertise
neuroengineering, brain-computer interfaces, neuromorphic engineering, computational neuroscience, electronics, computer science, signal processing, robotics
Bio
I am a postdoctoral scholar at the University of Chicago, where I work with human participants with brain implants to develop the next generation of sensorimotor brain-computer interfaces to restore human sensory and motor abilities. In addition to the translational efforts, I get to study how the nervous system processes and interacts with the world. I am excited by neuromorphic computing, which takes inspiration from the 'hardware and software' architecture of the brain to build more effective computing technology. I have strong background in electronics, signal processing, computer science, neuroengineering, computational neuroscience, and robotics. Outside of the lab, I love to travel, play board games, read, watch movies, and follow the NBA.Project ideas
Neuroengineering: Neural Interfaces, Neuroprostheses, and Brain-Computer Interfaces
This project will explore the field of sensorimotor brain-computer interfaces (BCIs), which are systems that allow the brain to directly control devices and receive feedback from them. You will study how BCIs can restore movement for people with paralysis or provide naturalistic sensation through neuroprosthetic limbs. The project will focus on reviewing recent scientific papers, comparing different approaches to recording brain activity and delivering feedback to the nervous system. By the end, you will write a short review article that highlights the current state of the field and discusses exciting future directions for sensorimotor BCIs. A more ambitious project could include modeling of neural interfaces, or analyzing neural data.
Neuromorphic Computing
This project will introduce you to the field of neuromorphic computing, an area of research that designs computer systems inspired by how the brain processes information. You will explore how neurons and synapses can be modeled in hardware and software, and how these approaches are applied to problems such as sensory processing, robotics, and brain-computer interfaces. The project will involve reading and synthesizing recent scientific papers, with a focus on identifying the strengths, challenges, and future directions of neuromorphic systems. By the end, you will produce a short review article that summarizes your findings for a broad scientific audience. A more ambitious project could include neuron modeling, or applications of spiking neural networks.