TITLE: "Efficient variance components analysis across millions of genomes." ABSTRACT: While variance components analysis has emerged as a powerful tool in complex trait genetics, existing methods for fitting variance components do not scale well to large-scale datasets of genetic variation. I will present a method for variance components analysis that is accurate and efficient: capable of […]
TITLE: "Asymptotic-Numerical Method For Cell Focusing in Microfluidic Channel." ABSTRACT: Inertial microfluidic devices use inertial lift forces to organize the spacing and positions of cells carried by flow. A hybrid asymptotic-numerical method is presented that can calculate the migration velocities of cells in a channel by representing them as a combination singularities and discontinuities. Refinements […]
TITLE: "A pan-cancer landscape analysis of molecular and functional genomics in tumor proliferation." ABSTRACT: Rapid proliferation is a central hallmark of cancer and is associated with poor prognosis in most cancer types. My overall goal is to understand the mechanisms by which specific driver mutations and mutational signatures influence rates of tumor proliferation within and […]
Assistant Professor-Biostatistics, Department of Biostatistics and Epidemiology, Rutgers University "Model-based analysis of alternative polyadenylation using 3' end reads" Hosted by Jessica Li
TITLE: "Distal mediator-enriched placental transcriptome-wide association studies reveal genetic mechanisms supporting the Developmental Origins of Health and Disease." ABSTRACT: As the master regulator of the intrauterine environment, the placenta is core to the Developmental Origins of Health and Disease (DOHaD) but is understudied in large consortia of tissue-specific gene and trait regulation. We performed distal mediator-enriched transcriptome-wide […]
TITLE: "Clipper: p-value-free FDR control on high-throughput data from two conditions." ABSTRACT: High-throughput biological data analysis commonly involves identifying "interesting" features (e.g., genes, genomic regions, and proteins), whose values differ between two conditions, from numerous features measured simultaneously. The most widely-used criterion to ensure the analysis reliability is the false discovery rate (FDR). Existing bioinformatics […]
Associate Professor, UCLA Institute for Society and Genetics “TBD” Hosted by Paivi Pajukanta
TITLE: "Critical slowing down signals quasi-species extinction in an evolutionary model with environmental heterogeneity." ABSTRACT: Environmental heterogeneity can significantly affect the evolutionary dynamics of a population. A key parameter that determines the influence of heterogeneity is the migration rate--the rate at which organisms explore their heterogeneous environment. We study a model of a population which migrates between […]
TITLE: "Integrating metabolomics and fluxomics to study cancer metabolism in low glucose environments." ABSTRACT: Metabolomics and fluxomics are integral tools for quantitative metabolic analysis. By combining mass spectrometry, isotope tracing, and mathematical modeling, we can quantify metabolite concentrations and fluxes in cancer cells. Using these tools, we are investigating the coordination of bioenergetics, biosynthesis, and redox […]
Associate Professor, Department of Biochemistry and Biophysics, UCSF “TBD” Hosted by David Eisenberg
