Fuhai Li, Ph.D.

Assistant Professor
Pediatrics

Biomedical Informatics and Data Science Program
Computational and Systems Biology Program

  • 314 747-6119

  • fuhai.li@wustl.edu

  • Integrative large-scale pharmaco genomics analysis for target, signaling network, drug and drug combination discovery. Genomics data driven tumor-stromal communication discovery and modeling.

Research Abstract:

My current research interests are to develop a free, opensource, visual programming software tool to provide a centralized environment for the fast development of genomics data driven drug and drug combination discovery via integrative pharmacogenomics data analysis; develop approaches for uncovering tumor-stroma communications; and other statistical and data mining models to analyze and interpret diverse and complex biomedical data sets, for example, I am working on medical data to study the potential effects of poly-drug use in the rehabilitation of traumatic brain injury.

Selected Publications:

Jielin Xu, Kelly Regan, William Carson, Philip Payne, Fuhai Li#, “Diffusion Mapping of Drug Targets on Disease
Signaling Network Elements Reveals Drug Combination Strategies”, Pacific Symposium on Biocomputing (PSB)
2018.

Regan, K., P. Payne, Fuhai Li#, “Integrative network and transcriptomics-based approach predicts genotype-specific drug combinations for melanoma”, 2017 Joint Summits on Translational Bioinformatics, San Francisco, March 27 ~ 30, 2017, 2017. (Winner of best student paper award)

Haoyang Wu, Elise Miller, Denethi Wijegunawardana, Kelly Regan, Philip Payne, Fuhai Li#, “MD-Miner: A
network-based approach for personalized drug prediction”, BMC Systems Biology, 2017

Lei Huang*, Fuhai Li*, Jianting Sheng, Jinwen Ma, Ming Zhan, Stephen Wong, “DrugComboRanker: Drug
Combination Discovery Based on Target Network Analysis”, International Conference on Intelligent Systems for
Molecular Biology (ISMB), 2014, and, Bioinformatics, 2014. PMCID: PMC4058933
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