Drug–drug interaction extraction
Reproduction of a PubMedBERT + RotatE knowledge-graph model for 5-class drug–drug interaction extraction.
PhD candidate in Nutrition & Metabolism at UW–Madison and M.S. CS (Machine Learning) student at Georgia Tech, connecting wet-lab metabolism, omics, and machine learning.
Single-cell analysis of 143K liver cells across a 2×2 diet × microbiome design; Trem2⁺ macrophage state.
Python, Scanpy
Reproduction of a PubMedBERT + RotatE knowledge-graph model for 5-class drug–drug interaction extraction.
Integration of 16S rRNA sequencing with targeted LC-MS/MS metabolite profiles
Targeted and untargeted LC-MS/MS characterization of cholesterol oxidation products
Interactive similarity graph of 93K mouse and human liver cells. Team project, in progress
PhD candidate in Nutrition and Metabolism (minor in Quantitative Biology) at the University of Wisconsin–Madison, concurrently completing an M.S. in Computer Science (Machine Learning track) at Georgia Tech. I build machine learning and computational pipelines for high-dimensional biomedical data, including single-cell transcriptomics (140K+ cells), microbiome and LC–MS/MS metabolomics, and biomedical text and knowledge graphs, and connect them to experimental work on diet–microbe–host metabolism and metabolic liver disease. Co-author on publications in PNAS and Nature Metabolism.
Scientific Graphic Designer, Molecular Genetics Lab, Department of Genetics; Department of Life Sciences Communication; Division of the Arts, University of Wisconsin–Madison (September 2022 – May 2025). Qing, X., Chu, D., Rauf, H., & Skop, A. (2024). Lab Culture [Cookbook]. https://www.labculturerecipes.com/
Contact: qing3@wisc.edu