School of Medicine


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  • Julia Palacios

    Julia Palacios

    Assistant Professor of Statistics and of Biomedical Data Science

    Bio Dr. Palacios seek to provide statistically rigorous answers to concrete, data driven questions in evolutionary genetics and public health . My research involves probabilistic modeling of evolutionary forces and the development of computationally tractable methods that are applicable to big data problems. Past and current research relies heavily on the theory of stochastic processes, Bayesian nonparametrics and recent developments in machine learning and statistical theory for big data.

  • Sylvia K. Plevritis, PhD

    Sylvia K. Plevritis, PhD

    Professor of Biomedical Data Science and of Radiology (Integrative Biomedical Imaging Informatics at Stanford)

    Current Research and Scholarly Interests My research program focuses on computational modeling of cancer biology and cancer outcomes. My laboratory develops stochastic models of the natural history of cancer based on clinical research data. We estimate population-level outcomes under differing screening and treatment interventions. We also analyze genomic and proteomic cancer data in order to identify molecular networks that are perturbed in cancer initiation and progression and relate these perturbations to patient outcomes.