As an enthusiastic Linux DevOps Engineer at the University of Minnesota Supercomputing Institute (MSI), I am deeply involved in the design and development of state-of-the-art DevOps infrastructure. A major focus of my work is the LORIS project, an initiative that has reshaped the management and analysis of multi-modal brain research data. I work closely with the Masonic Institute for the Developing Brain, and our team has successfully launched a proof-of-concept instance, processed the dataset from the Adolescent Brain Cognitive Development study, set up a sturdy proof-of-concept configuration, and conducted remote analysis. [Find more about my work here](msi.umn.edu/staff/garci624 & midb.umn.edu/research/informatics). In this role, I'm responsible for designing and implementing resilient infrastructure, maintaining system security and reliability, and building intuitive interfaces that enable researchers to access and analyze data easily. The potential of the LORIS project has been recognized by the National Institutes of Health, emphasizing its potential to transform brain research and deepen our understanding of complex brain disorders. My research expands beyond the LORIS project, delving into the genomic study of brain tumors. Using high-performance computing with Linux heterogeneous clusters, I create computational biology tools to analyze data from diverse genomic technologies. My primary aim is to identify vulnerabilities in brain tumorigenesis, employing advanced algorithms and deep learning models to improve treatment strategies and patient outcomes. Upon completion of my Ph.D., I envision establishing a ground-breaking lab, drawing inspiration from the Venteicher Lab's approach. I plan to assemble a multidisciplinary team, using computational biology, machine learning, and emerging genomic technologies to revolutionize the diagnosis and treatment of complex diseases, thus saving lives in clinical settings. [Learn more about my plans here](venteicherlab.umn.edu/members/jesus-garcia-garcia). As part of my commitment to staying on the cutting edge of computational biology and DevOps infrastructure, I'm excited to leverage Gumroad as a platform to share my passion and knowledge with a global audience. I aim to create accessible tutorials focused on simplifying complex, innovative concepts, targeting learners of all ages. By sharing what I am learning, I hope to inspire others to engage with this exciting field and enjoy the benefits of understanding these complex concepts. With my continual participation in conferences, workshops, collaborations with experts across various fields, and staying updated on the latest technological advancements, I am excited about the future of computational biology and how it can transform our approach to tackling complex diseases.