معرفی
Thiago Burghi is a Bye-Fellow at Churchill College, University of Cambridge, and a postdoctoral researcher funded by the Kavli Institute. His academic journey spans three continents, featuring a double undergraduate degree in Control Engineering from ENSTA ParisTech (France) and University of Campinas (Brazil), a Master's in Robotics from University of Paris, and a PhD from University of Cambridge completed in 2020.
His research sits at the critical intersection of engineering and neuroscience, specializing in computational neuroscience and control engineering. Burghi develops advanced estimation algorithms for modeling biological neurons and implements real-time control systems to study neuromodulation during electrophysiology experiments. This innovative approach transforms traditional neuroscience by enabling active intervention in neural circuits rather than passive observation.
Currently supported by a Kavli Institute postdoctoral grant, his work pioneers methodologies for dynamic neural circuit analysis. Though specific laboratory details aren't provided, his research leverages cutting-edge electrophysiology equipment and computational frameworks within Cambridge's neuroscience ecosystem. His unique background in both engineering and biology positions him at the forefront of neurotechnology development, with implications for understanding brain function and developing neural interfaces.
Burghi's interdisciplinary profile makes him an ideal collaborator for projects requiring expertise in control systems applied to biological contexts. Prospective students interested in computational neuroscience, neural engineering, or real-time experimental systems would find his research direction particularly valuable for developing cross-disciplinary skills at the engineering-biology interface.
