Speaker: Javier Darío Burgos Salcedo
Date: Friday, March 27, 2026
Abstract:
This report introduces a quantum formalism–based simulation framework to model immune compartmentalization across major human tissues in healthy, septic, and severe COVID 19 states. By applying tensor product Hilbert spaces to empirical immunological datasets, the model captures complex, tissue specific immune dynamics in an-88 dimensional state space. Results show heightened lung inflammation and sustain immune activation in COVID 19, alongside severe lymphopenia with localized tissue activation in sepsis. Entropy divergence highlights lungs and bone marrow as key therapeutic targets, demonstrating the value of quantum methods for analyzing compartmentalized immune behavior.
Bio:
Javier Burgos is an applied mathematician and research director at the CORPORACION PARA LA INVESTIGACION Y LA INNOVACION–CIINAS. With a career spanning over two decades, he has served as professor of applied mathematics, statistics, experimental design, optimization, and AI, and currently conducts research at the Fundacion Universitaria San Mateo. A member of the Models of Infectious Disease Agent Study (MIDAS), he specializes in machine learning, statistical modeling, and Python programming.