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(Cancelled) WN@tL: “Through the Looking-Glass of Data Science”
March 11 @ 7:00 pm - 8:15 pm
Speaker: Claudia Solis-Lemus
Speaker Bio: Her research involves the development of statistical models to answer biological questions, balancing biological interpretability, theoretical guarantees, and computational tractability. In particular, her research deals with modern big data which are highly interconnected through graphical structures. Examples of her research involve the inference of phylogenetic networks to study reticulate evolution, comparative methods on networks to study the evolution of traits on hybrids, new sampling schemes to improve on Bayesian MCMC tools, as well as the application of such new tools to real-life datasets such as cultivated potato and carrot, Pseudomonas aeruginosa, Staphylococcus aureus, human endogenous retroviruses, among others.
Description: Big data is creating a big splash. By 2020 we expect 2.7 million job openings in Data Science in the US alone — 10 times more than public health, another fast-growing field. But what exactly is Data Science? In this talk, I will describe my research as a statistician in a Plant Pathology department, and how Data Science is revolutionizing the way we study plants and microbes. Statistics exploits the power of big data, redefining the way in which we do science by allowing us to spark discovery out of the massive amounts of data that are being collected in every scientific field. I will describe specific examples related to soil and plant microbiome, and illustrate how the general applicability of statistical tools can help translate methodologies that we use in plants to human research, in particular, to gut and lung microbiome.