Research Assistant Professor
Experience
Research Assistant Professor
Sanford Burnham Prebys Medical Discovery Institute
- Cancer Genome and Epigenetics Program
- Center for Data Science and Artificial Intelligence
- Leads computational research in cancer proteogenomics, biomarker discovery, and open-source method development.
Postdoctoral Fellow
University of California, Los Angeles
- Department of Human Genetics, David Geffen School of Medicine
- Cancer Data Science, UCLA Jonsson Comprehensive Cancer Center, UCLA Health
- Developed computational algorithms and scalable pipelines for cancer proteogenomics, including moPepGen, NFTest, and the DNA and RNA meta-pipelines.
Postdoctoral Fellow
University of California, Davis
- Department of Nutrition
- Developed computational pipelines for circulating extracellular RNA analysis and software for analyzing, manipulating, and visualizing quantitative high-throughput omics experiments.
Education
PhD in Nutritional Biology
University of California, Davis
MS in Food Science and Technology
University of California, Davis
BS in Applied Biological Science
Zhejiang University
I develop computational methods and open-source software that connect genomic and transcriptomic variation to the proteins expressed by tumors. My work focuses on making proteogenomic analysis comprehensive, reproducible, and scalable—from workflow engineering and non-canonical peptide identification to the interpretation of cancer genomes and proteomes.
I apply these methods to questions in cancer diagnosis, prognosis, treatment response, sex differences, and neoantigen discovery. I am particularly interested in translating robust computational tools into biological and clinical insight.
Contact
Get in touch about research or collaboration
Affiliation
Cancer Genome and Epigenetics Program
NCI-Designated Cancer Center
Center for Data Science and Artificial Intelligence
Sanford Burnham Prebys Medical Discovery Institute
La Jolla, California, USA