What you will be working on?
I will be developing machine learning and network-based models that integrate newborn metabolomic data and longitudinal electronic health records to predict cardiovascular risk and identify early-life biomarkers for neonatal heart failure and congenital heart disease. My project, “Born with a Signature,” aims to uncover the biological and temporal patterns that shape cardiovascular health from birth, ultimately creating a clinically interpretable Neonatal Cardiovascular Index for early screening and intervention.
What are you looking forward to the most in your experience as a WA Scholar?
I’m most excited to collaborate with mentors and peers who are advancing the intersection of AI and medicine, and to showcase my work in a field that remains deeply understudied in both biomedicine and pediatrics. I look forward to learning from the diverse community of Warren Alpert Scholars, exchanging ideas across disciplines, and translating data-driven discoveries into insights that clinicians can trust and use to improve neonatal care.
How do you see this shaping your research and ultimately, career?
This experience will strengthen the translational bridge between computational modeling and real-world clinical impact, while also grounding my growing interests in health and technology policy. By uniting metabolomics, EHR trajectories, and interpretability, I aim to build tools that promote AI-driven equity in maternal, neonatal, and overall women’s health. The interdisciplinary mentorship and exposure from this program will prepare me to pursue a career that combines research, policy, and advocacy to shape the future of data-driven and biologically-informed healthcare.
From your perspective, what does it mean to you to be a WA Scholar?
To me, being a Warren Alpert Scholar represents both recognition and responsibility. The recognition that rigorous, human-centered AI can transform healthcare, and the responsibility to ensure those innovations are ethical, interpretable, and inclusive. It’s an opportunity to contribute to a community that values scientific excellence grounded in compassion, transparency, and societal impact.