Marcelo is a PhD student in the Learning Sciences and Technology Design program where his research centers around identifying ways to leverage artificial intelligence to characterize learning in self-regulated learning environments. Beyond this, he is interested in improving STEM education and making it more accessible to a larger population of students. To this end, he has extensive experience developing both after-school programs and summer programs that help students recognize that they can successfully pursue STEM fields by having them engage in constructionist learning activities. He also has experience teaching high school engineering classes and one-on-one tutoring.

In addition to his education experience, Marcelo has industrial experience in pharmaceuticals, non-profits, chemicals, technology consulting, and a number of industrial research labs: AT&T, IBM and Accenture.

He holds a BS in Chemical Engineering, a BS in Spanish, and is pursuing an MS in Computer Science, in addition to the PhD in Education.

Marcelo is funded through the AT&T Labs Fellowship Program and the Stanford Diversifying Academia, Recruiting Excellence Fellowship.