About Me

Background

I grew up between Venezuela, Colombia, and Louisiana, which gave me an early and personal understanding of resource scarcity, including water access, that still shapes how I think about technology and its role in the world. I came to Macalester to study Computer Science, and along the way found myself drawn to the intersection of machine learning, healthcare equity, and data science.

Research Interests

My main research interest is algorithmic bias in clinical diagnostics. A lot of medical devices and diagnostic tools were built and validated on non-representative populations, and the downstream effects on patient care are real and measurable. I’ve worked on projects around insulin pumps, pulse oximetry bias across skin tones, and skin lesion classification fairness, and I’m working toward graduate study in biostatistics to keep building in this space.

On Campus

I co-founded Macalester’s SACNAS chapter and a Nucleate Dojo chapter which I have lead at a co-chair level, serves in Math, Computer Science, and Statistics Student Advisory Board, and work as a Campus Ambassador for Out for Undergrad (O4U) Engineering & Sciences. I care a lot about making technical spaces more accessible and representative.

Outside Class

I speak English, Spanish, and high-intermediate French. I like thinking about the history and philosophy of science, exploring questions at the edge of religion and culture, weighlifting, and finding good coffee shops to work in.