I am a statistician working at the intersection of high-dimensional inference and communication: taking methods built for precision and making them legible to the people who need to use them.
I hold a PhD in Statistics from the University of Maryland, Baltimore County, where my dissertation examined multiple testing procedures for controlling the false discovery rate in genomic data. I also hold a Master of Science and a Bachelor of Science in Statistics, both from the University of the Philippines, Diliman, where I graduated cum laude.
Until June 2026, I was a Postdoctoral Research Fellow in the Biostatistics Group at King Abdullah University of Science and Technology (KAUST), working on high-dimensional hypothesis testing, false discovery rate control, and Bayesian methods, with applications spanning imaging genetics, protein domain analysis, and neuroimaging. Before that, I spent several years as an Associate Professor in the School of Statistics at the University of the Philippines, Diliman.
I would rather work slowly on a question rooted in something real than move quickly through whatever a field currently calls hot. That preference shows up as depth more often than speed: fewer manuscripts, each one built to hold up.
I am currently looking for the next place to put that to work. Ideally somewhere the same rigor applies to decisions that matter, where the answer is not already known.
A full record of my publications is on my ORCID profile; a sample of the work is on the Research page; my CV has the rest. I write about statistics, and other things, in the Essays. Get in touch if you would like to talk statistics, writing, or anything in between.