About

I’m a Senior Computational Biologist and software engineer at the Knight Cancer Institute at Oregon Health & Science University, where I focus on the intersection of algorithm development, cancer genomics, and emerging computing paradigms.

I hold a PhD in Bioinformatics and Computational Biology from OHSU in 2022, where I was an NLM/NIEHS Pre-doctoral Fellow. My dissertation centered on developing quantum machine learning algorithms for biomedical research and clinical applications, with an emphasis on developing theoretical quantum advantages in sample complexity and generalization error — key figures of merit learning systems.

Prior to my PhD, my MSc research focused on modeling sequencing platform errors and developing error correction algorithms to improve the detection of low-frequency variants — a key challenge in monitoring minimal residual disease (MRD) in cancer. This work aimed to optimize pipelines for higher sensitivity and specificity in clinical genomics, in particular those targeting acute myeloid leukemia (AML).

My academic journey began with a BA in Psychology, with a concentration in Neuropsychology and Political Science minor from Whittier College. I’ve also conducted research in neuropharmacology at UC Irvine and previously worked as a creative software engineer, developing interactive visualizations, web applications, and data tools — skills I still draw on today when presenting research and building software.

Outside the lab, I’m an avid climber, hiker, forager, and creative coder. I enjoy experimenting with generative art (hence the colorful image on this page), brwing hooch, growing bonsai (it teaches me patience), making music, and photographing the beautiful nature our here in the Pacific Northwest. You can find some of my personal and research-related projects on GitHub.

If you’d like to get in touch, I’m best reached via email.