My name is Choo, a PhD Bioinformatics student at the University of California, Los Angeles.
My journey in computational biology begun as a molecular biologist (e.g., 10X Genomics) followed by statistical training (MS Biostatistics; Colorado School of Public Health / statistics consulting core).
These past lives have converged in my current research in the Luo Lab at UCLA (PI: Chongyuan Luo), where our group develops new multiomic single-cell and spatial assays. My research develops computational methods to extend these assays to large multi-donor studies, with a focus on statistical genetics tools for single-cell and epigenetic datasets.
- single-cell & spatial biology, multi-‘omic integration, epigenetics, statistical genetics
- network analysis, multivariate models, non-parametrics, machine learning, causal inference
- environmental health equity, developmental origins of disease, psychiatric traits, neurodegeneration, aging
- A Single-Cell Atlas of DNA Methylation in Autism Spectrum Disorder Reveals Distinct Regulatory and Aging Signatures in Prefrontal Cortex. bioRxiv
- Integration of polygenic risk with single cell methylation profiles for depression. bioRxiv
- FastGxC: Fast and Powerful Context-Specific eQTL Mapping in Bulk and Single-Cell Data. bioRxiv
Clinical volunteering (mental health and harm reduction settings), media studies, internet history, botany, synthesizers and field recording, film noir, and immediately misplacing all of my pencils and pens.
Yapping and learning about other folks' research is my favorite part of being in academia. Please reach out if you'd like to collaborate or grab a coffee!