Dr. Santiago Manrique-Bedoya is a Post-Doctoral Researcher for the department of Physics & Astronomy at the University of Texas at San Antonio (UTSA). He received his B.S. in Mechanical Engineering from the Universidad Pontificia Bolivariana (UPB), Medellin (Colombia), and his M.S. and Ph.D. from the department of Mechanical Engineering at UTSA. His work has focused on the development of computational models to aid in the understanding of biological phenomena and further development and optimization of nanotechnology as a therapy method. His work has been published in Gastroenterology and the Journal of Physical Chemistry C. His expertise includes the development of computational models to study the effect of stenting and growing strictures in the pancreatic duct, computational characterization of thermal effects using single and arrays of gold nanoparticles, characterization of tissue properties, and development of computational models to study electrochemical phenomena in cytoskeleton filaments within single neurons.
Dr. Santiago Manrique-Bedoya is a Post-Doctoral Researcher for the department of Physics & Astronomy at the University of Texas at San Antonio (UTSA). He received his B.S. in Mechanical Engineering from the Universidad Pontificia Bolivariana (UPB), Medellin (Colombia), and his M.S. and Ph.D. from the department of Mechanical Engineering at UTSA. His work has focused on the development of computational models to aid in the understanding of biological phenomena and further development and optimization of nanotechnology as a therapy method. His work has been published in Gastroenterology and the Journal of Physical Chemistry C. His expertise includes the development of computational models to study the effect of stenting and growing strictures in the pancreatic duct, computational characterization of thermal effects using single and arrays of gold nanoparticles, characterization of tissue properties, and development of computational models to study electrochemical phenomena in cytoskeleton filaments within single neurons.