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DTSTART;TZID=America/Los_Angeles:20260409T100000
DTEND;TZID=America/Los_Angeles:20260409T120000
DTSTAMP:20260403T232903
CREATED:20260325T172250Z
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SUMMARY:Ticknor\, B. (STAT) - Clustering and Tractable Multivariate Inference for Extremes
DESCRIPTION:Modeling environmental extremes often involves large collections of spatial or temporal records where both clustering similar series and modeling dependence among extremes are challenging tasks. This Ph.D. proposal addresses several related problems in extreme value analysis. In particular\, we study how to cluster many time series based on their extremal behavior using strategies defined via univariate extremal models\, motivated by an application to 975 coastal wave-height records. We also investigate the development of scalable multivariate models for dependent extremes. A tractable construction based on a latent multivariate $t$ process with generalized extreme value margins is proposed\, together with a regularization strategy that encourages extremal dependence consistent with a max-stable limit while preserving likelihood-based inference. Together\, these efforts aim to provide practical tools for analyzing large collections of environmental extremes. \nEvent Host: Benjamin Ticknor\, Ph.D. Student\, Statistical Science \nAdvisor: Robert Lund \nZoom- https://ucsc.zoom.us/j/94347069554?pwd=21jbzUIlbopj2OFRySIHmBV11Ngoef.1 \nPasscode- 822764 \n 
URL:https://events.ucsc.edu/event/ticknor-b-stat-clustering-and-tractable-multivariate-inference-for-extremes/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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DTSTART;TZID=America/Los_Angeles:20260413T080000
DTEND;TZID=America/Los_Angeles:20260508T170000
DTSTAMP:20260403T232903
CREATED:20260214T011406Z
LAST-MODIFIED:20260319T220918Z
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SUMMARY:2026 Right Livelihood International Conference
DESCRIPTION:The Right Livelihood International Conference is a four-week global conference exploring how education can strengthen democracy\, collective intelligence\, and just futures. Bringing together Right Livelihood Laureates\, students\, faculty\, and community partners across continents\, the conference combines asynchronous learning with participatory dialogue and collaborative action. Rather than advocating specific outcomes\, the conference positions education as a democratic practice and the Right Livelihood College as a steward of dialogue\, student voice\, and long-term institutional learning. \nRegistration is free and open to the public. Sign up to receive conference updates\, session links\, and participation opportunities.
URL:https://events.ucsc.edu/event/2026-right-livelihood-international-conference/
LOCATION:
CATEGORIES:Film Screening,Lectures & Presentations,Meetings & Conferences,Ph.D. Presentations,Seminars,Social Gathering,Training,Undergraduate,Workshop
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DTSTART;TZID=America/Los_Angeles:20260414T140000
DTEND;TZID=America/Los_Angeles:20260414T160000
DTSTAMP:20260403T232903
CREATED:20260326T162922Z
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SUMMARY:Castello\, J. (CSE) - Space Mission Simulation From the Outside In
DESCRIPTION:Robotic space missions often use discrete event simulation to reduce risk in operation. A simulation applies a set of planned activities to a model of mission resources\, and the model’s observed behavior is used to predict real-world outcomes. However\, logically concurrent activities are typically simulated under one possible linearization of their events – an order that may not reflect the eventual reality. Some simulation systems provide mechanisms for controlling the order of events; but this is a solution to a self-imposed problem. We instead question the assumption causing this problem: that events are totally ordered to begin with. \nWe study Merlin\, an open-source simulator developed at Caltech’s Jet Propulsion Laboratory and designed by the author\, that exchanges the traditional total order of events for a *partial* order. Under this approach\, a resumed activity can only observe events that causally precede its resumption\, and concurrent events are reconciled under custom policies. However\, the resulting design is more complex (and less understood) than that of linearizing simulators\, obscuring its key insights. As such\, we have developed Eidolon: a compact core calculus for Merlin-style simulation whose operational semantics follows an “outside-in”\, substitution-based execution model. Although Eidolon is derived from the concepts present in Merlin\, we intend it to be a vehicle for exploring non-linearizing simulation in general. \nFirst\, we propose making Eidolon *incremental*: a change to the set of planned activities should not incur a full resimulation from scratch except in the worse case\, instead reusing any cached computations that are not sensitive to the change. Since mission planning is a highly iterative process involving many simulations and subsequent tweaks to the plan\, incremental resimulation may allow plans to be finalized in less time\, or allow higher-quality plans to be obtained in the same amount of time. The substitution-oriented approach of Eidolon is what makes this feasible\, since individual computations align cleanly with subtree boundaries. \nSecond\, in the spirit of Reynolds’ defunctionalization and Danvy’s rational reconstruction\, we propose developing a denotational semantics for Eidolon and demonstrating its mechanical conversion into an abstract machine. As a mathematical artifact\, Eidolon is designed for reasoning and legibility rather than efficiency; nonetheless\, defunctionalization allows us to *refactor* our semantics into something that stands a chance of being practical. In particular\, defunctionalization reifies the recursive structure of a denotational semantics into an explicit data structure. As a result\, the defunctionalized form of Eidolon will recover an explicit priority queue like that of traditional linearizing simulators\, but without their assumption of total ordering. \nEvent Host: Jonathan Castello\, Ph.D. Student\, Computer Science and Engineering \nAdvisor: Lindsey Kuper  \nZoom- https://ucsc.zoom.us/j/98171466380?pwd=L2rkpr8tEt0MZamYbxxPTfvhAd4gl6.1 \nPasscode- 990848 \n 
URL:https://events.ucsc.edu/event/castello-j-cse-space-mission-simulation-from-the-outside-in/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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DTSTART;TZID=America/Los_Angeles:20260415T120000
DTEND;TZID=America/Los_Angeles:20260415T130000
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SUMMARY:The Emergence of Maritime Archaeology in the Republic of Benin: Research\, Challenges\, and Ongoing Initiatives
DESCRIPTION:Presentation Abstract:  The Republic of Benin has a rich maritime history shaped by human interactions along its coast. However\, these coastal areas remain understudied in terms of archaeological research. Over the past five years\, research has explored the potential of both land and submerged archaeological sites to understand long-term occupation and material evidence of Atlantic-era exchanges. This presentation traces the development of maritime archaeology in Benin through ongoing research. Grounded in a Maritime Cultural Landscape framework\, it combines terrestrial survey data\, underwater investigations\, oral traditions\, and historical archives to reconstruct past human interactions along the coast. \nAbout the Presenter: Affolabi Angelo Ayedoun is a PhD Student in the Department of Anthropology at UCSC. His research seeks to illuminate the precolonial history of coastal Benin by analyzing patterns of occupation and cultural interaction during the second millennium AD. It focuses on the Grand-Popo region\, an area of early settlement and a key site of initial colonial contact in present-day Benin.
URL:https://events.ucsc.edu/event/the-emergence-of-maritime-archaeology-in-the-republic-of-benin-research-challenges-and-ongoing-initiatives/
LOCATION:Social Sciences 1\, Social Sciences 1\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Ph.D. Presentations
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DTSTART;TZID=America/Los_Angeles:20260423T153000
DTEND;TZID=America/Los_Angeles:20260423T173000
DTSTAMP:20260403T232903
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SUMMARY:Pawl\, E. (STAT) - Flexible and Scalable Mixtures of Experts for Oceanographic Flow Cytometry Data
DESCRIPTION:Flow cytometry is a valuable technique in microbial research used to measure the optical properties of single-celled organisms at high throughput. Oceanographers often deploy flow cytometers on research cruises in order to study the characteristics of phytosynthetic microbes—called phytoplankton—in regions and times with diverse environmental conditions. Because cytometers cannot distinguish between subpopulations\, researchers typically cluster observations into subpopulations and subsequently analyze cluster characteristics. This two-stage workflow is often manual\, difficult to reproduce\, and fails to account for uncertainty in cluster assignments when relating subpopulation behavior to environmental conditions. To address these shortcomings\, statistical mixture models are gradually being introduced as alternatives to manual flow cytometry data analysis. However\, existing models either cannot use covariates or make restrictive assumptions about the relationships between cluster characteristics and covariates. Additionally\, they are designed to analyze individual cruises and consequently characterize local\, rather than global\, patterns in phytoplankton behavior. We propose to develop computationally efficient mixtures of experts which account for the complex dependency structures in oceanographic flow cytometry data. In this framework\, cells are probabilistically assigned to latent subpopulations\, while cluster-specific regressions relate each subpopulation’s optical properties and relative abundance to environmental conditions. Our first project develops a mixture of random weight neural network experts which can estimate arbitrary nonlinear regressions at low computational cost\, without a priori specification of functional forms. In the second project\, we develop a variational Bayesian mixture of experts which automatically selects variables without requiring cross-validation for hyperparameter selection. The final project incorporates spatial and temporal dependence\, allowing joint inference on data collected from multiple research cruises conducted at different locations and times. \nEvent Host: Ethan Pawl\, Ph.D. Student\, Statistical Science \nAdvisors: Sangwon Hyun & Paul Parker \nZoom- https://ucsc.zoom.us/j/96353239941?pwd=a4PJ94EMSD6D0SJ75S3WYzrPbYsBtn.1 \nPasscode- 244463
URL:https://events.ucsc.edu/event/pawl-e-stat-flexible-and-scalable-mixtures-of-experts-for-oceanographic-flow-cytometry-data/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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