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Ph.D. Presentations

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Today
  • August 2026

  • Fri 28
    Three silhouetted figures talking, overlaid with graphics of digital data, charts, and technology interfaces.

    Saleem, O. (ECE) – Coupled Evacuation Readiness and Post-Disaster Restoration for Vehicle-to-Grid Enabled Resilient Power–Transportation Networks

    August 28 @ 9:00 am – 12:00 pm
    Engineering 2 Engineering 2 1156 High Street, Santa Cruz, CA
    Hybrid Event

    The accelerating adoption of zero-emission vehicles (ZEVs) in California is reshaping both the transportation and electrical grids at the moment as climate-driven disasters are intensifying in frequency and severity. This […]

  • Fri 28
    Close-up abstract image of a circuit board with glowing lines and interconnected pathways.

    Nag, S. (BMEB) – Personalized Diploid Genome Graphs for Accurate Somatic Variant Discovery

    August 28 @ 10:00 am – 12:00 pm
    Engineering 2 Engineering 2 1156 High Street, Santa Cruz, CA
    Hybrid Event

    Many somatic variant-calling pipelines begin by aligning tumor and matched-normal sequencing reads to a single linear reference genome, such as GRCh38. Because every individual differs substantially from this reference, this […]

  • September 2026

  • Tue 1
    Close-up abstract image of a circuit board with glowing lines and interconnected pathways.

    Shen, J. (STAT) – Bayesian Modeling and Uncertainty Quantification for Verbal Autopsy Data

    September 1 @ 9:00 am – 11:00 am
    Virtual Event

    Verbal autopsy (VA) is a well developed tool to collect information describing deaths outside of hospitals by conducting surveys to the relatives and caregivers of the deceased person. It is […]

  • Wed 9
    Abstract digital illustration featuring gears and interconnected technology elements.

    Chen, Y. (STAT) – Flexible Bayesian Models for High-Dimensional and Longitudinal Discrete Data in Microbiome Studies

    September 9 @ 10:00 am – 12:00 pm
    Virtual Event

    Multivariate dependent discrete data routinely arise in microbiome studies. Analyzing these data presents interesting statistical challenges, such as high dimensionality, excess zeros, large heterogeneity across samples, and temporal dependence in longitudinal studies. Drawing inferences about objects of primary scientific interest—such as temporal trajectories of microbial abundance, microbial interactions, clusters of microbes similarly associated with environmental […]

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Last modified: Jul 15, 2026