My research focuses on the intersection of translational medicine, device innovation, and clinical trial design, leveraging advanced data science methodologies to improve patient outcomes in nephrology and vascular access. Specifically, I apply machine learning, predictive analytics, and real-world evidence methodologies to enhance the effectiveness of novel medical devices and optimize clinical workflows.
My work also includes AI-driven decision support systems to enhance treatment pathways while addressing health disparities by ensuring diverse, representative datasets. Additionally, I also collaborate with deep learning techniques for medical imaging analysis, particularly in the automated evaluation of dialysis vascular access patency and thrombotic risk prediction. Through these data science-driven approaches, my goal is to advance precision medicine in nephrology, accelerate medical device innovation, and improve the quality of care for patients with kidney disease and related conditions.
One of my most exciting projects is CORE (“COnnecting REsearch”), an innovative software platform that democratizes clinical trials by leveraging AI and machine learning to optimize trial design, recruitment, and retention. CORE intelligently matches participants with clinical trials based on eligibility, demographics, and preferences, ensuring a more inclusive and efficient recruitment process. By reducing participant burden and enhancing accessibility, it improves the clinical trial experience while increasing diversity and representation in research.
CORE also integrates AI-driven predictive analytics to refine clinical trial design, optimizing site selection, patient stratification, and adaptive trial methodologies. By harnessing real-world data, it helps sponsors enhance recruitment, reduce costs, and improve retention—leading to more efficient, generalizable, and impactful trial outcomes. Ultimately, CORE bridges the gap between researchers and participants, transforming clinical research accessibility and equity.
My research journey has been driven by a deep passion for translational medicine, medical device innovation, and health equity. Early in my career, I recognized the significant gaps in access, efficiency, and diversity in clinical trials and patient care, particularly in nephrology and vascular access. This led me to explore data science and AI-driven solutions to improve clinical workflows, optimize device efficacy, and enhance patient outcomes.
Following which my work on catheter-associated infections, dialysis vascular access, and acute kidney injury reinforced the need for more inclusive and efficient research methodologies, inspiring me to develop CORE (“COnnecting REsearch”)—a platform that democratizes clinical trials using AI-powered participant matching and trial optimization.
Through a combination of clinical expertise, data science methodologies, and a commitment to diversity, equity, and inclusion (DEI), I have built a research portfolio that bridges technology and patient care, ensuring that innovation in medicine is accessible, equitable, and impactful.