Tao Long, Ph.D.

Tao Long's Research Focus

Bioinformatics, Genomics, Metabolomics, Systems Biology, Machine Learning
Computational Biology, Aging-Related Diseases, Cancer, Leukemia/Lymphoma, Metabolic Diseases
Human, Human Cell Lines, Mouse, Bacteria, Computational Modeling
Immune System and Inflammation, Gastrointestinal System, Immune System and Inflammation
Microbial Metabolism, Metabolic Networks, Host-Pathogen Interactions, Cancer Epigenetics, Cancer Metabolism

Recent advances in technology have produced an unprecedented amount of data on human genomes, RNAs, proteins, metabolites, and gut microbes. The ability to extract useful information out of the complex Big Data will lead to biomedical discoveries and applications. Dr. Long’s lab designs and implements state-of-the-art computational and machine-learning approaches to make sense of these “-omics” data. The identified biomarkers will advance our understanding of how variations in gene sequence and expression, metabolite levels, and gut microbial composition are functionally connected to health and disease, including cancer, and provide a foundation for precision medicine.

Tao Long's Bio

Dr. Long obtained her Ph.D. in Physics with Dr. Ned Wingreen and Dr. Bonnie Bassler at Princeton University, studying information processing in bacterial cell-to-cell communication. She continued her postdoctoral training with Dr. Lucy Shapiro at Stanford University, investigating bacterial transcription with genome-wide RNA sequencing. She further extended her computational biology experience as a bioinformatics scientist at Human Longevity Inc., focusing on genotype-phenotype association studies and interactions of the gut microbiome with the human host using statistical inference and machine learning approaches on genomics, metagenomics, and metabolomics data.


Education and Training

Bioinformatics Scientist, Human Longevity Inc.
2016 Postdoctoral Fellow, Stanford University, 2014
Ph.D., Princeton University, 2010
B.S., Peking University, 2004