PhD, MS2, Scientist & Genome Analyst
Clinical research scientist and genome analyst at Vancouver General Hospital and medical student at the University of British Columbia combining advanced genomic analysis with medical training to bridge computational biology and clinical medicine. Work focuses on structural variants, cancer genomics, and implementing cutting-edge sequencing technologies in diagnostic laboratories, making genomic medicine accessible globally and addressing disparities in genomic research representation.
Clinical implementation of advanced genome analysis technology at Vancouver General Hospital.
Novel approaches to cellular analysis and genomic profiling at single-cell resolution.
Application of long-read sequencing technology in acute myeloid leukemia diagnostics published in the Clinical Journal of Pathology
I was in the room when He Jiankui announced the first gene-edited babies. What he actually did, and whether it will happen again.
From my TEDxUBC 2025 talk: what precision medicine misses when it learns from a narrow slice of humanity.
Can a parent's experience be written into their children's genes?
Open study platform for medical students: a question bank plus ECG, imaging, disease and differential libraries.
Interactive R Shiny dashboard for visualizing global COVID-19 trends with R₀ estimation and rolling averages.
Live classroom tool where students build, vote on and defend a differential diagnosis together.
Clinical implementation of advanced genome analysis technology for structural variant detection.
Leading the clinical integration of optical genome mapping (OGM) technology at Vancouver General Hospital. This cutting-edge approach enables comprehensive detection of structural variants, providing insights that traditional sequencing methods may miss in cancer diagnostics and genetic disease evaluation.
Application of long-read sequencing technology in acute myeloid leukemia diagnostics.
Clinical implementation of nanopore sequencing for rapid detection of genomic alterations in AML, demonstrating potential for real-time diagnostics and treatment planning.
Long-read sequencing of cervical cancer genomes reveals diverse HPV integration architectures and allele-specific effects on gene regulation.
This work identifies structural classes of HPV-human genomic rearrangements, shows how integration configuration and methylation status shape local chromatin, and demonstrates widespread cis effects on gene expression surrounding the integrated allele.
Novel approaches to cellular analysis and genomic profiling at single-cell resolution.
This work presents innovative methodologies for analyzing genomic data at the single-cell level, enabling more precise characterization of cellular heterogeneity in cancer and other complex diseases.
Investigating mechanisms of genome stability in cancer predisposition syndromes.
Research focused on understanding how defects in DNA repair pathways contribute to hereditary cancer susceptibility, with implications for genetic counseling and targeted therapies.
Understanding genomic alterations driving cancer development and progression.
Comprehensive analysis of chromosomal instability patterns in cancer genomes, identifying key mechanisms that drive tumor evolution and therapeutic resistance.
Investigating how loss of RECQL5 leads to increased genome instability through elevated sister chromatid exchanges and double-strand breaks.
Demonstrates that RECQL5 prevents inappropriate recombination at G-quadruplex–rich transcribed genomic regions.
What He Jiankui actually did, why it was indefensible, and whether someone will try again.
I was a graduate student in the audience in Hong Kong when He announced the twins. What the edits really were, why there was no medical need for them, and the start-ups now chasing edited babies.
Precision medicine was built on a narrow slice of humanity. What that costs, and who is closing the gap.
Adapted from my TEDxUBC talk. A patient report full of uncertain variants, a disease found only by studying Ethiopian families, and the new references being built from diverse genomes.
Can a parent's experience be written into their children's genes? The evidence so far.
Children conceived during the 1944–45 Dutch famine carried its mark for sixty years. Whether that mark reaches their grandchildren is a harder question than it looks.
Height is mostly genetic. For a decade, nobody could find the genes.
How the missing heritability problem was largely solved for height, and the two places it is still hiding: non-European genomes and the parts of the genome we couldn't read.
How cells keep their DNA intact, why cancer breaks that system, and what one overlooked helicase does.
From BRCA and PARP inhibitors to my PhD work using single-cell Strand-seq to map where the RECQL5 helicase protects the genome.
Why the battlefield metaphor for cancer misleads us, and what to use instead.
Cancer is evolution inside a single body. What imatinib, tumour heterogeneity and fifty years of mortality data say about the idea of a single cure.
An open study platform for medical students: a question bank alongside reference libraries for ECGs, imaging, diseases and differentials.
Started as a midterm practice bank for my own class and grew from there. Each question comes with a full explanation and shows how other students answered. The libraries let you move from a question to the ECG pattern, X-ray or disease behind it, and the differentials section lays out the causes of each presenting complaint by organ system, acuity or pain pattern.
An interactive Shiny web app built in R to visualize global and country-level COVID-19 trends using WHO / Our World in Data datasets.
The dashboard dynamically displays new cases, deaths, and testing trends with rolling averages and per-capita normalization. Features include an R₀ estimator based on user-defined serial intervals and recent growth rates, automatic highlighting of periods with steep case surges, customizable filters for countries, metrics, and time windows, and global baseline comparison for contextual reference. Designed for clarity and accessibility, the app lets users explore how outbreaks evolved over time while keeping visuals clean, responsive, and data-driven.
A live classroom tool for working through clinical cases together, one step of the diagnosis at a time.
Students join a session from their phones by scanning a QR code. The class takes a history, examines the patient and orders labs, and each student builds a differential on their own before the answers are merged and voted on. The facilitator then reveals the expert ranking and a must-not-miss checklist, so students can see where their reasoning matched and where it went wrong.