- Ph.D., Biomedical Engineering, University of South Carolina, 2019
- B.S., Biomedical Engineering, University of South Carolina, 2014
- External Advisory Board (EAB), University of South Carolina, Biomedical Engineering Program, 2022 - present
- National Institute of Health Research Supplement to Promote Diversity in Health-Related Research Recipient, 2015-2019
- National Science Foundation I-Corps Recipient and 1st place in the start-up pitch competition, University of South Carolina, 2018
- Society of Hispanic Professional Engineers
- National Biomedical Engineering Society
Dr. Torres specializes in the use of combinatorial quantitative techniques including computational modeling and complementary benchtop evaluations to promote the effective design of medical technology. He has expertise in the use of finite element analysis, computational fluid dynamics, and three-dimensional anatomical reconstruction for the mechanical, thermal, and/or electromagnetic analysis of the interaction between biological tissues and medical devices in support of in-silico clinical trials. These experiences in computational modeling tools are a complement to Dr. Torres' benchtop experimental capabilities of implantable medical devices and a variety of human tissue types for the validation of computational models or the characterization of unique and challenging loading modalities.
Furthermore, he has extensive experience in the use of computational and experimental techniques to evaluate MRI safety and compatibility of both active and passive medical devices. This expertise includes a comprehensive understanding of the methodologies and requirements detailed in standards and regulatory guidance documents such as ISO/TS 10974, the FDA's guidance document on Testing and Labeling Medical Devices for Safety in the Magnetic Resonance (MR) Environment, and several others.
Throughout the course of his doctoral research at the University of South Carolina, Dr. Torres worked extensively with unique large animal models of heart failure to characterize the rate and extent of adverse remodeling secondary to different phenotypes of heart disease using non-invasive echocardiographic imaging and multi-photon histological analysis. This work motivated the intelligent design of targeted biomaterial-based therapeutics for post-myocardial infarction care to mitigate these adverse outcomes. Furthermore, he invented a clinically translatable tool for the advanced biomechanical analysis of the human heart from readily available echocardiographic imaging.