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Federico Zamberlan is a Ph.D. candidate in Physics at the University of Buenos Aires, specializing in biophysics. His research focuses on linking phenomena that are triggered during psychedelic experiences to conscious manifestations at the molecular scale. He applies machine learning techniques, particularly graph convolutional networks, and natural language processing tools to study and interpret subjective experiences elicited by psychedelics and their underlying neurophysiological mechanisms. Currently, he collaborates with colleagues on experimental work in psychedelic neuroscience while also engaging in scientific lectures aimed at public understanding and the potential therapeutic use of these substances. In his spare time, Federico enjoys backpacking across Latin America, immersing himself in local cultures and traditions.
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