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 immunotherapy, and provide a foundation for precision medicine.
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.