Jesse Livezey

Jesse Livezey is a versatile professional who transitioned from physics to computational neuroscience, focusing on leveraging machine learning and information theory to decode the complexities of the brain. With a Ph.D. in Physics, Biophysics, Theoretical Neuroscience, and Machine Learning from the University of California, Berkeley, and a background in Physics and Mathematics from Cornell University, Jesse brings a diverse skill set to the table.

Jesse is well-versed in designing and implementing machine learning algorithms using Python, with a keen interest in developing tools that promote collaborative and reusable research practices. His expertise extends to creating innovative neural data standardization and signal processing libraries. Jesse has a proven track record of conducting in-depth analysis on extensive neuroscience datasets utilizing high-performance computing systems.

Throughout his career, Jesse Livezey has held various roles including Senior Applied Machine Learning Scientist at Dandelion Science Corp, Postdoctoral Researcher at Berkeley Lab, Computing Sciences Intern at NERSC, MultiSensor Machine Learning Intern at Audience, Inc., Graduate Student, and Teaching Assistant at UC Berkeley and Cornell University, and Research Assistant at Cornell University. Jesse's rich experience spans academia, industry, and research institutions, reflecting his commitment to advancing knowledge in computational neuroscience.

Jesse's passion lies in the intersection of physics, mathematics, and neuroscience, where he excels in developing cutting-edge methodologies to unravel the mysteries of the brain. His work underscores the importance of interdisciplinary collaboration and the application of modern computational tools in deciphering complex neural systems.