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