Summary
Chunhui Gu is a machine learning–focused research scientist and PhD candidate in biostatistics with ~10 years of experience applying ML/AI to proteomics and real-world clinical data. Combining an MBBS from Fudan with advanced biostatistics training at Emory and UTHealth, she builds reproducible tooling (in-house R packages and Shiny apps) and implements graph neural networks to boost protein identification from mass spectrometry using protein–protein interaction priors. Her work spans method development, large-scale data engineering (MongoDB, SQL), and causal inference in observational studies, including propensity-score reviews and target-trial emulation for RWE. She has practical industry exposure from internships at Novo Nordisk and Children’s Healthcare of Atlanta and is joining Meta as a research scientist in machine learning. Notably, she bridges clinical domain knowledge with deep learning, enabling biologically informed models that surface previously unidentified cancer-testis antigens.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Medicine Bachelor of Surgery - MBBS Medicine, Bachelor of Medicine Bachelor of Surgery - MBBS Medicine at Fudan University
Master of Science - MS Biostatistics, Master of Science - MS Biostatistics at Emory University
Doctor of Philosophy - PhD Biostatistics, Doctor of Philosophy - PhD Biostatistics at UTHealth Houston