I'm a neuroscientist with 6+ years of research experience at MIT, combining rigorous wet-lab proficiency with advanced data science skills. I currently work as a postdoctoral researcher in Mark Harnett's lab in the McGovern Institute for Brain Research at MIT, where I study neuronal mechanisms of learning in the neocortex.

I received my B.S. in Biology from the University of Puerto Rico at Mayagüez, where I first connected with MIT through the Summer Research Program in Neuroscience. That experience cemented my interest in quantitative approaches to biology and led me to pursue a PhD at MIT, which I completed in 2025.

My work has produced a proven track record of designing end-to-end research pipelines, from experimental design and data acquisition to large-scale signal processing and statistical modeling in Python and MATLAB. I'm now looking to bring that expertise to data-focused roles in the pharmaceutical and biotechnology industries.