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Joseph Makin is an Assistant Professor at the Elmore Family School of Electrical and Computer Engineering at Purdue University. His research interests include mathematical neuroscience, neural computation, brain-machine interfaces in humans and animals, and machine learning as it relates to control, particularly in conjunction with neuroscience. His focus is on exploring the intersection between electrical engineering and neuroscience, making significant advancements in how machines and biological systems can interact and communicate. Through his work, he aims to contribute to the understanding of brain functions and how this knowledge can be applied to develop innovative technologies. Joseph is committed to bridging the gap between theoretical research and practical applications, and he engages in various projects geared towards improving the reliability and efficiency of neural interfaces.
GRE is not required.