Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
Mentored student Dehua Bi to win Third Place in the JSM Student Paper Competition (ASA Biopharmaceutical Section, 2024)
Student Dehua Bi received multiple poster awards at ICSA Midwest, NIC-ASA, MBSW, and ASA Regulatory-Industry workshops (2021–2023)
Co-authored paper 'BEATS: Bayesian Hybrid Design with Flexible Sample Size Adaptation for Time-To-Event Endpoints' published in Statistics in Medicine (2023)
Co-authored paper 'Prediction of Chronic Kidney Disease Progression Using Recurrent Neural Network and Electronic Health Records' accepted by Scientific Reports (2023)
Developed open-source tools: TCGA-Assembler, Mutstats, LocHap, TreeClone, and BayClone2 for cancer genomics analysis
Background
Works on big data-driven discovery in cancer biology
Develops Bayesian adaptive designs to empower precision medicine
Creates innovative computational approaches for cancer diagnosis and prognosis based on tumor heterogeneity
Analyzes multi-omics data from next-generation sequencing platforms
Leads a research group with diverse expertise in cancer biology, clinical trials, computational biology, bioinformatics, and statistics