Chen Liao, PhD
Title(s)
Assistant Professor of Microbiology and Immunology
Department(s)
Microbiology and Immunology
Education
Postdoc - Computational & Systems Biology, Memorial Sloan-Kettering Cancer Center
Ph.D. - Bioengineering, University of Illinois at Urbana-Champaign
B.S. - Physics, University of Science and Technology of China
Programs
Molecular and Cellular Biology Graduate Programs
Molecular Pathogenesis Program
Websites
https:
Contact Information
Vail Building, Room 210A
74 College St.
Hanover NH 03755
Office: Vail Building, Room 210A
Phone: 603-646-5386
Email: Chen.Liao@dartmouth.edu
Professional Interests
The Liao Lab is a hybrid research group that combines computational modeling, experimental microbiology, and clinical data analysis to investigate microbial metabolism within the human gut microbiome. Our work focuses on mapping metabolic fluxes in microbial pathogens and uncovering the metabolite-mediated interactions between microbes and their human host. Our long-term goals are to (1) elucidate the metabolic pathways linking intestinal microbiota to human health, and (2) develop computational platforms that enable the rational design of microbiome-based therapies.
Biography
Chen Liao completed his B.S. in Physics at the University of Science and Technology of China in 2010. He developed a strong interest in synthetic biology and earned his Ph.D. in Bioengineering at the University of Illinois at Urbana-Champaign. In 2018, Chen joined the lab of Dr. Joao Xavier at Memorial Sloan-Kettering Cancer Center as a postdoc, where he was co-mentored by Dr. Tobias Hohl. For his postdoctoral work, Chen studied the role of the gut microbiome in bloodstream infections during bone marrow transplantation in cancer patients.
A review of engraftment assessments following fecal microbiota transplant. How Does Escherichia coli Allocate Proteome? Antifungal heteroresistance causes prophylaxis failure and facilitates breakthrough Candida parapsilosis infections. Oral bacteria relative abundance in faeces increases due to gut microbiota depletion and is linked with patient outcomes. Assessing Engraftment Following Fecal Microbiota Transplant. The Ratio of Key Metabolic Transcripts Is a Predictive Biomarker of Breast Cancer Metastasis to the Lung. The TaxUMAP atlas: Efficient display of large clinical microbiome data reveals ecological competition in protection against bacteremia. High-resolution analyses of associations between medications, microbiome, and mortality in cancer patients. Teasing out missing reactions in genome-scale metabolic networks through hypergraph learning. Evolution and regulation of microbial secondary metabolism. |
|