About Me
Hi! I am a PhD Bioinformatics student at UCLA. My interest in computational biology began as a molecular biologist in biotech (e.g., 10X Genomics), followed by statistical training (MS Biostatistics; Colorado School of Public Health / Anschutz Medical Campus statistics consulting core).
These past lives have converged in my work in the Luo Lab at UCLA (PI: Chongyuan Luo), where our group develops multiomic single-cell and spatial assays. My dissertation work extends statistical genetics to these new tools, particularly focusing on how genetic variation and 5mC-methylation interact with aging and neuropsychiatric phenotypes.
Learning about other folks’ research and teaching (currently: TA, UCLA C&S M187 & undergraduate research supervision) are my favorite parts of being in academia.
Please reach out if you’d like to collaborate or grab a coffee.
Recent Highlights
Eyring & Liu, et al. (in press, 2026) A Single-Cell Atlas of DNA Methylation in Autism Spectrum Disorder Reveals Distinct Regulatory and Aging Signatures in Prefrontal Cortex. bioRxiv
Zhou, et al. (2026) Distinct cellular DNA methylation mechanisms underlie common and rare genetic risk for brain disorders. bioRxiv
Li, et al. (2025) Integration of Polygenic Risk with Single Cell Methylation Profiles for Depression. bioRxiv
Krockenberger, et al. (2025) FastGxC: Fast and Powerful Context-Specific eQTL Mapping in Bulk and Single-Cell Data. bioRxiv
Other Interests
clinical volunteering (mental health and dementia settings), botany, synthesizers, field recordings, internet history/doomscrolling, rain and rocky beaches (pictured above: Lands End, San Francisco), film noir, and immediately misplacing all of my pencils and pens.