Mario De Lucio, Ph.D. Email & Phone Number
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Mario De Lucio, Ph.D. is listed as Post-Doctoral Scientist - Delivery, Device, and Connected Solutions (DDCS) at Eli Lilly and Company, based in West Lafayette, Indiana, United States. AeroLeads shows a matched LinkedIn profile for Mario De Lucio, Ph.D..
Mario De Lucio, Ph.D. previously worked as Research Scientist, Regenstrief Center for Healthcare Engineering at Purdue University and Research Assistant, School of Mechanical Engineering at Purdue University. Mario De Lucio, Ph.D. holds Doctor Of Philosophy - Phd, Mechanical Engineering from Purdue University.
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About Mario De Lucio, Ph.D.
I consider myself a computational mechanician, I develop new modeling and computer-based simulation techniques to address real-world problems in mechanical and biomedical engineering. The core of my research philosophy lies in bridging the gap between computational theory and practical application. I am interested in tailoring computational models to capture the complex dynamics occurring at the intersection between biology and mechanics, providing insights that are not easily attainable through experimental methods alone.
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Mario De Lucio, Ph.D. work experience
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Research Scientist, Regenstrief Center For Healthcare Engineering
Current◦ Engaged in a strategic collaboration between Eli Lilly and Purdue University, concentrating on the analysis and optimization of injectable medicine delivery systems.◦ Conducted advanced numerical simulations to enhance understanding of the auto-injection process mechanics, aiming to improve drug bioavailability, minimize injection site pain, and boost patient compliance and overall health.◦ Explored innovative approaches and technologies for improving drug delivery systems, focusing on device design, injection parameters, and drug formulation.◦ Demonstrated expertise in advanced computational methods, quantitative analysis, Bayesian and causal inference modeling, and AI methods in health and life sciences.◦ Contributed to research grant writing, project management, and publication in reputable healthcare, medical, and biomedical journals.
Research Assistant, School Of Mechanical Engineering
◦ Involved in a project within a strategic collaboration between Eli Lilly and Purdue University, focusingon the analysis of the delivery of injectable medicines.◦ Performed numerical simulations to analyze the delivery of injectable medicines with the overall goals of better understanding the fundamental mechanics of the auto-injection process and its effect on skin,improved drug bioavailability, and reducing injection site pain in order to better patient compliance andenhance overall health.◦ Developed high-fidelity computational models to understand and predict tissue deformation and fluid pressure build-up as well as their impact on drug transport and absorption.◦ Investigated innovative approaches and technologies to improve drug delivery systems, considering factors such as device design, injection parameters, and drug formulation.◦ Supported the strategic collaboration between Eli Lilly and Purdue University, fostering innovation andfacilitating the translation of research findings into practical applications in the pharmaceutical industry
Visiting Researcher
◦ Developed computational methods utilizing isogeometric analysis, poroelasticity, and data-driven tissue geometries to model the complex dynamics of high-volume, high-speed subcutaneous injection of monoclonal antibodies.◦ Developed highly sophisticated numerical algorithms capable of running in parallel, utilizing 200+ processors in Purdue’s Rosen Center for Advanced Computing.◦ Leveraged the computational power and parallel processing capabilities to efficiently simulate andanalyze the complex fluid-structure interactions during the subcutaneous injection process.◦ Conducted extensive simulations using the developed computational methods to investigate the effects of injection parameters, tissue properties, and geometrical variations on the injection dynamics and the resulting distribution of monoclonal antibodies
Graduate Research Assistant
◦ Acted as a main collaborator in the project “Industrial Implementation of 3D printed AlSi10Mg components under quasi-static loading”.◦ Conducted experimental tests on structures under both quasi-static and dynamic conditions, specifically focusing on extreme deformations and crushing.◦ Utilized Digital Image Correlation (DIC) tools to postprocess experimental results, enabling precise measurements and analysis of structural behavior.◦ Applied crashworthiness optimization techniques to enhance the performance and efficiency of thestructures.◦ Developed finite element models to simulate the behavior of aluminum alloy thin-walled structures.◦ Collaborated closely with industry partners to ensure the successful implementation of 3D printedcomponents under quasi-static loading.
Graduate Research Fellow
◦ Awarded a prestigious fellowship by the Spanish Ministry of Education and Science to serve as aprincipal investigator, collaborating with the Department of Cardiovascular Surgery at the ComplejoUniversitario Hospitalario de A Coruna (CHUAC), to conduct research on the risk of rupture ofabdominal aortic aneurysms (AAA) with atherosclerotic intimal thickening.◦ Developed an in-house code, called AneuPy, to generate idealized geometrical models of AAAs usingclinical data. This code facilitated the creation of accurate and representative computational models forfurther analysis AneuPy.◦ Performed cardiovascular fluid-structure interaction simulations of AAAs using different constitutivemodels for aortic tissue that allowed to better determine the risk of rupture.◦ Analyzed the stress distribution, deformation patterns, and hemodynamic factors within the AAA models to gain insights into the potential mechanisms of rupture.◦ Collaborated closely with the Department of Cardiovascular Surgery at CHUAC, exchanging knowledgeand expertise to bridge the gap between research and clinical applications.
Undergraduate Research Fellow
◦ Granted with a research scholarship from the University of A Coruna to conduct research under theproject “Mechanical Characterization of Structural Adhesives for Crashworthiness Applications”.◦ Analyzed the mechanical behavior of various structural adhesives through rigorous experimental tests.◦ Developed a computational model to accurately reproduce the structural behavior of the adhesives.◦ Incorporated experimental data into the computational model, enabling precise predictions of adhesive performance under different loading conditions.◦ Successfully replicated the adhesive’s structural behavior in the computational model, validating thequality of the mechanical characterization.◦ Provided engineers and researchers with a reliable tool for assessing adhesive performance and optimizing their use in various industries.
Project Manager Assistant
◦ Worked as a hydraulic modeler on large-scale flood management projects in Panama and Venezuela incollaboration with the World Bank and the Inter-American Development Bank.◦ Conducted two and three-dimensional numerical simulations of free surface flow in rivers and estuaries to assess and quantify the level of flood hazard in densely populated urban areas.◦ Utilized advanced numerical models to assess the level of flood hazard and create accurate flood riskmaps, providing valuable information for urban planning and disaster management strategies.◦ Generated accurate flood risk maps by analyzing the hydraulic behavior of water bodies, consideringfactors such as water flow, topography, and urban infrastructure.◦ Designed and proposed innovative solutions including flood barriers, coastal defenses, waterfront parks, flood-resilient buildings and landscapes, reducing flood hazards by up to 60%.◦ Conducted feasibility studies and cost-benefit analyses to evaluate the economic and environmentalimplications of proposed flood mitigation solutions, assisting decision-makers in selecting the mostsuitable approaches.
Mario De Lucio, Ph.D. education
Doctor Of Philosophy - Phd, Mechanical Engineering
Master Of Science - Ms, Civil Engineering (Ingeniero De Caminos, Canales Y Puertos), First Class Honors
Bachelor Of Science - Bs, Civil Engineering (Ingeniero Técnico De Obras Públicas), First Class Honors
Bachillerato, Ciencias Y Tecnología
Frequently asked questions about Mario De Lucio, Ph.D.
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What company does Mario De Lucio, Ph.D. work for?
Mario De Lucio, Ph.D. works for Eli Lilly and Company.
What is Mario De Lucio, Ph.D.'s role at Eli Lilly and Company?
Mario De Lucio, Ph.D. is listed as Post-Doctoral Scientist - Delivery, Device, and Connected Solutions (DDCS) at Eli Lilly and Company.
Where is Mario De Lucio, Ph.D. based?
Mario De Lucio, Ph.D. is based in West Lafayette, Indiana, United States while working with Eli Lilly and Company.
What companies has Mario De Lucio, Ph.D. worked for?
Mario De Lucio, Ph.D. has worked for Eli Lilly And Company, Purdue University, Norwegian University Of Science And Technology (Ntnu), Universidad De A Coruna, and Ihcantabria.
How can I contact Mario De Lucio, Ph.D.?
You can use AeroLeads to view verified contact signals for Mario De Lucio, Ph.D. at Eli Lilly and Company, including work email, phone, and LinkedIn data when available.
What schools did Mario De Lucio, Ph.D. attend?
Mario De Lucio, Ph.D. holds Doctor Of Philosophy - Phd, Mechanical Engineering from Purdue University.
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