bienvenidos ~

I am currently a Biophysics PhD student at Stanford University working with Euan Ashley, where my work is funded by a Knight-Hennessy Scholarship and a Ford Foundation Fellowship.

In 2021, I completed an MSc by Research in Statistics at the University of Oxford as a Rhodes Scholar. Before that, I completed my BS in Biochemistry and Molecular Biology at Chapman University.

Below, you can get a glimpse of my work as a researcher, musician, and poet.

I am broadly interested in artificial intelligence and statistical learning with applications to exercise science and human physiology.

Methodologically, my prior work has primarily focused on cancer genomics at the Baylor College of Medicine, large language models at the Dana-Farber Cancer Institute, and multi-view machine-learning at the Oxford Big Data Institute.

I have also written several thought papers for classes where I have focused on ethical and philosophical issues in the biosciences.

I am a songwriter, singer, and guitarist who primarily uses the craft of music as a vehicle for storytelling. As an audiovisual artist, I also produce original photography to accompany my music. In 2023, I released my debut album The Monarch. Now, I am working on a new piece titled 7.

I also have broad interests in computer-generated music, with a particular flare for multi-modal data sonification. To bolster this skillset, I have also taken courses through Stanford CCRMA.

In addition to my musical work, I also write poetry - which I communicate through rap, spoken word, or both. I use text from my poems to generate art using open-source large language models like DALL-E.

I have recently self-published my first poetic anthology, Archetypal, which provides a minimum-spanning set of my current poetic style. I am now working on a larger narrative anthology.

Beyond poetic creation, I am also interested in algorithms that can generate visual art from text de novo.