Biography
I am a first-generation college graduate and research professional with a passion for using computational tools to advance science and address healthcare disparities. I hold a Bachelor of Science in Biology from Middle Tennessee State University and am currently pursuing a Master's in Biomedical Data Science at Meharry Medical College. As a research technician at Vanderbilt University since 2023, I have contributed to published research on G-protein coupled receptors and authored a study examining SNAP25 genetic modifications in Frontiers in Pharmacology. My work combines wet-lab expertise with growing computational skills in R programming, data analysis, and bioinformatics. I am interested in how machine learning and data science can improve healthcare outcomes across diverse populations. Beyond biomedical research, I am open to exploring interdisciplinary applications of AI and ML in environmental science and climate modeling. As a bilingual researcher fluent in Spanish and English, I am committed to fostering more inclusive research methodologies and addressing disparities in underserved communities. Through collaboration and continuous learning, I strive to contribute meaningfully to scientific advancement while supporting others from underrepresented backgrounds.
Academic Information
Status: Masters Student
Year in Program: 1st
Major/Specialty: Biology/Science Biomedical Data Science
Degrees: Bachelor's Degree/Biology/2023 In Progress: Master's Degree/Biomedical Data Science/2027
Research Areas
Computer Science; Data Science; Machine Learning/AI
Research Interests
My research interests focus on using computational approaches to understand biological mechanisms and address healthcare disparities. Through my work at Vanderbilt, I have developed a real passion for using data science to generate meaningful insights. I am interested in how machine learning and bioinformatics can help us find patterns in complex biological data that could lead to more inclusive healthcare outcomes across different populations. I am also open to getting involved in real-world scientific problems in any domain and applying my expertise in different areas. I am fascinated by how AI and ML can solve complex problems across domains like climate science, environmental health, geospatial data analysis, and earth science modeling. These fields involve large-scale computational challenges and complex data patterns that could benefit underserved communities and advance our understanding of global health challenges.
Topical Areas
Applied Computer Science; Artificial Intelligence and Intelligent Systems; Basic Medicine; Cell Biology; Computer Science; Environmental Biology; Environmental Biotechnology; Health Sciences; Informatics, Analytics and Information Science; Training
Relevant Coursework
I have taken several relevant courses that have prepared me for this kind of work, including Intro to Software Development, Probability and Statistics, Biology, Chemistry, Calculus, and Physics. These courses gave me both the scientific foundation and the quantitative skills needed for computational research. Currently, I am enrolled in Meharry’s Master’s in Biomedical Data Science Program, where I am taking foundational courses. Such as Computer Programming Foundations, Introduction to Biostatistics, and Data Conscientiousness. Next spring, I will complete Data Management Foundations, Statistical Methods for Biomedical Data Science, and Population Health Informatics. This curriculum combines theoretical foundations with practical coding experience for computational biomedical research.
Publications & Research Projects
Yes, I contributed to a research publication examining SNAP25 genetic modifications and their effects on metabolic regulation, where I served as a fourth author. This study required data analysis, experimental design, and working closely with a team across different areas of expertise. Link to Study: https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2025.1544456/full