
Xiaotao Zhang, MD, PhD
Rony Zhang (Preferred Name)
About Me
Dr. Xiaotao Zhang earned his medical degree in Preventive Medicine in China. With a growing interest in disease prevention at the level of population health, he emigrated to the U.S to continue his education and training in Biostatistics and Epidemiology at Tulane University in New Orleans and The University of Texas Health Science Center in Houston. His research and experience are primarily focused on nutrition, the microbiome, cancer disparities and geriatric oncology. His research agenda is built upon multidisciplinary experiences studying the role of biological and modifiable factors in liver diseases and cancer prevention. By merging epidemiologic methods with innovative techniques and bioinformatic/statistical strategies, his current research examines the role of biological and modifiable factors in liver fibrosis and cancer prevention. He hopes to unravel risk factors and mechanisms to inform the development of new preventive interventions and clinical strategies.
He currently leads the Microbiome Epidemiology Lab at the Icahn School of Medicine at Mount Sinai, where his team explores how host-microbiome interactions influence chronic disease risk and response to nutritional or therapeutic interventions.
Dr. Zhang also directs the Mount Sinai Bionutrition Research Core, a shared resource at the Icahn School of Medicine at Mount Sinai that provides comprehensive, state-of-the-art support for nutritional research. The Core offers services in nutrition assessment, dietary intervention design, data analysis, and investigator training, facilitating high-quality translational and clinical nutrition studies.
Language
Position
Research Topics
Aging, Biomedical Informatics, Biostatistics, Cancer, Depression, Diabetes, Epidemiology, Gastroenterology, Global Health, Immunology, Inflammation, Inflammatory Bowel Disease (IBD), Liver, Metabolomics, Microgravity, Obesity, Patient Centered Outcomes Research, Personalized Medicine, Proteomics, Public Health, Translational Research
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Cancer Biology [CAB], Disease Mechanisms and Therapeutics (DMT)
Download the CVAbout Me
Dr. Xiaotao Zhang earned his medical degree in Preventive Medicine in China. With a growing interest in disease prevention at the level of population health, he emigrated to the U.S to continue his education and training in Biostatistics and Epidemiology at Tulane University in New Orleans and The University of Texas Health Science Center in Houston. His research and experience are primarily focused on nutrition, the microbiome, cancer disparities and geriatric oncology. His research agenda is built upon multidisciplinary experiences studying the role of biological and modifiable factors in liver diseases and cancer prevention. By merging epidemiologic methods with innovative techniques and bioinformatic/statistical strategies, his current research examines the role of biological and modifiable factors in liver fibrosis and cancer prevention. He hopes to unravel risk factors and mechanisms to inform the development of new preventive interventions and clinical strategies.
He currently leads the Microbiome Epidemiology Lab at the Icahn School of Medicine at Mount Sinai, where his team explores how host-microbiome interactions influence chronic disease risk and response to nutritional or therapeutic interventions.
Dr. Zhang also directs the Mount Sinai Bionutrition Research Core, a shared resource at the Icahn School of Medicine at Mount Sinai that provides comprehensive, state-of-the-art support for nutritional research. The Core offers services in nutrition assessment, dietary intervention design, data analysis, and investigator training, facilitating high-quality translational and clinical nutrition studies.
Language
Position
Research Topics
Aging, Biomedical Informatics, Biostatistics, Cancer, Depression, Diabetes, Epidemiology, Gastroenterology, Global Health, Immunology, Inflammation, Inflammatory Bowel Disease (IBD), Liver, Metabolomics, Microgravity, Obesity, Patient Centered Outcomes Research, Personalized Medicine, Proteomics, Public Health, Translational Research
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Cancer Biology [CAB], Disease Mechanisms and Therapeutics (DMT)
Download the CV