I am originally Canadian and I grew up in the San Francisco Bay Area. Today, I call the Research Triangle of North Carolina home. These diverse experiences have shaped my perspective as both a scientist and a mentor, grounding my curiosity in global as well as local contexts.

I am a Computational Biochemistry PhD student at UNC Chapel Hill, where my research focuses on developing AI and machine learning frameworks to interpret genetic variants across scales, from 3D protein structures to multi-omics and single-cell datasets. At the center of my work is a key challenge in precision medicine: how to make sense of the thousands of variants of unknown significance (VUS) that remain uncharacterized.

To address this, I build machine learning pipelines that cluster variants in structural and pathway contexts, uncover shared functional signatures, and link these to drug sensitivity and resistance profiles. My methods span supervised learning (Random Forest, Gradient Boosting), unsupervised discovery (NMF, clustering), and graph neural networks (GNNs), combined with large-scale single-cell RNA-seq and Perturb-seq analysis. By harmonizing genomic, transcriptomic, proteomic, and CRISPR perturbation data, I aim to generate robust and clinically actionable variant–pathway maps. A current focus is validating high-confidence predictions in TNBC patient-derived organoids, completing the loop between computational inference and experimental validation.

I am deeply committed to mentoring and training the next generation of computational biochemists. Through programs such as NSF REU and NC Governor’s School, I have guided undergraduate and high school students, several of whom have gone on to PhD and BS/MD programs. At UNC, I contribute to the Sciomics Initiative, where I helped design and deliver tutorial notebooks that brought computational approaches to more than 2,000 students in Chemistry 430. I also develop open-source tutorials and pipelines to advance data literacy in the life sciences, making cutting-edge analysis more accessible to learners at all levels.

Outside of the lab, I am a marathon runner, a dog mom to two energetic pups, and an avid reader and cook.