About Me

I am a Bioinformatics Scientist at the Allen Institute/Immunology, where I develop AI models of the genetics, epigenetics, and transcriptomics of immune cell types and states. I think of myself primarily as a methods developer: I build machine learning and statistical approaches for high-dimensional single-cell data. My prior work has included clustering single-cell RNA-sequencing data while controlling for the effects of "data double dipping" and evaluating the capabilities of foundation models in genomics.

I completed my PhD in Computer Science and Computational Biology at Brown University's Center for Computational Molecular Biology, where I was advised by Lorin Crawford. I have also worked as a bioinformatics scientist at Illumina. I received my MS in Bioinformatics and Genomics from the University of Oregon and my BS in Mathematics, with minors in Statistics and Biology, from Pacific Lutheran University.

If you'd like to talk about computational biology, machine learning, or anything else, feel free to reach out.

Education

Positions Held