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SUMMARY:Statistics Seminar: Statistical Inference for Multi-Modality Data in the AI Era
DESCRIPTION:Presenter: Qi Xu\, Postdoctoral Researcher\, Department of Statistics & Data Science\, Carnegie Mellon University \nDescription: Multi-modality data are increasingly common across science medicine and technology\, such as imaging\, text\, sensors\, and genomics. These modalities are often high dimensional or unstructured and naturally exhibit blockwise (nonmonotone) missingness where different samples observe different subsets of modalities. Such missingness creates a major obstacle for statistical analyses since classical methods either discard large portions of data or rely on strong modeling assumptions. Recent advances in AI make it possible to generate or predict unobserved modalities from observed ones\, opening new opportunities for data integration. In this talk\, I will focus on statistical inference for blockwise-missing multi-modality data\, while rigorously incorporating modern AI tools. Rooted in semiparametric theory\, there is a long-term open problem that theoretically optimal estimating function under non-monotone missingness is computationally intractable\, even under the missing completely at random mechanism. I introduce a tractable approximation to the optimal estimating equation through a novel Restricted ANOVA hierarchY or RAY decomposition and its almost-eigen-operator property. This leads to a new class of estimators that leverage predictive or generative AI models to borrow information across datasets while remaining unbiased and asymptotically normal. Motivated by the property of the RAY estimator\, we extend the RAY estimator to a class of unbiased\, consistent\, and computationally tractable estimators. The most efficient estimator in this class is then derived\, named as Adaptive RAY estimator\, which optimally integrating all available data and prediction from AI. Simulation studies and a single cell multi-omics application demonstrate that the proposed framework enables stable and efficient inference for complex multi modality data in the AI era. This is a joint work with Lorenzo Testa\, Jing Lei and Kathryn Roeder\, and the paper is available on arXiv: https://arxiv.org/abs/2509.24158 \nBio: Qi Xu is a postdoctoral researcher in the Department of Statistics & Data Science at Carnegie Mellon University. His research interests lie broadly in statistics and machine learning\, especially in data integration and AI for statistics\, with their applications in genomics and mobile health. He received his Ph.D. from the Department of Statistics at University of California\, Irvine\, and the Master degree from University of Illinois Urbana Champaign\, and the Bachelor degree (with honors) from Tongji University. \nHosted by: Statistics Department \nZoom link: https://ucsc.zoom.us/j/91740050783?pwd=joK9hfwvM7FZ48acaiow8OY4ZlBDXA.1
URL:https://events.ucsc.edu/event/statistics-seminar-statistical-inference-for-multi-modality-data-in-the-ai-era/
LOCATION:https://ucsc.zoom.us/j/91740050783?pwd=joK9hfwvM7FZ48acaiow8OY4ZlBDXA.1
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20260204T160000
DTEND;TZID=America/Los_Angeles:20260204T173000
DTSTAMP:20260421T180645
CREATED:20260108T202204Z
LAST-MODIFIED:20260115T205542Z
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SUMMARY:VMCC Series: Yiman Wang
DESCRIPTION:In a lecture delivered by UC Santa Cruz Professor Yiman Wang\, this talk delves into Mao-era moving image culture that featured experimentation with public health\, horticulture\, and animal husbandry to unpack what cinematic experiments were developed\, how scientific experiments were conducted\, and in what ways they were intended to intertwine with the nation-wide experiment with rebuilding the new socialist human’s psyche and a new socio-political world. The talk also explores why such conjoined experiments often fell apart\, what one might gain by recentering the unruly human and more-than-human “raw material” that were experimented on\, and ultimately\, how the environmental turn in media studies could benefit from a study of socialist trifold cinematic-scientific-socio-political experimentations.\n—\nABOUT THE SPEAKER\nYiman Wang (Ph.D.\, Graduate Program in Literature\, Duke University) is Professor and Chair of Film & Digital Media at University of California\, Santa Cruz. She is author of Remaking Chinese Cinema: Through the Prism of Shanghai\, Hong Kong and Hollywood (University of Hawaii Press 2013)\, and To Be an Actress: Labor and Performance in Anna May Wong’s Cross-Media World (University of California Press 2024). She has published numerous articles in journals and edited volumes on topics of socialist environmental media\, feminist media histories\, ethnic border-crossing stardom\, eco-cinema\, Chinese cinema\, independent documentary\, film remakes and adaptations. She is editor of a special issue of Feminist Media Histories on Asian Feminist Media (2019)\, co-editor of an InFocus Dossier on Queering Asian Media in Journal of Cinema and Media Studies (2023)\, co-editor of Chinese Animation: Multiplicities in Motion (2025)\, associate editor of Journal of Chinese Cinemas\, and co-editor of the Global East Asian Screen Cultures book series published by Bloomsbury.\n—\nADMISSION\n– FREE and open to the public\n– Located in Porter College Rm. D245\n—\nPARKING\n– Lot 124 & 125 are the closest parking lots to the event.\n– Parking is by permit or ParkMobile.\n– Refer to TAPS for more parking information.\n—\nThis program is open to all members of the public consistent with state and federal law. \n 
URL:https://events.ucsc.edu/event/vmcc-series-yiman-wang/
LOCATION:Porter College\, D-Building\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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DTSTART;TZID=America/Los_Angeles:20260204T173000
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SUMMARY:Kraw Lecture: Learning Earth's Biodiversity via Space and eDNA
DESCRIPTION:The California DNA Program (CALeDNA)\, launched from the University of California in 2017\, has been tackling the massive disconnection in scales of measuring nature from satellite-based sensing down to DNA in a gram of soil or water. Through dozens of collaborative projects around the world\, CALeDNA lab scientists have harmonized different ways of observing biodiversity from microbes to plants and mammals. UC Santa Cruz’s Department of Ecology and Evolutionary Biology\, where CALeDNA is headquartered\, now houses over 50\,000 CALeDNA environmental sample collections\, a thriving startup partnership\, and an eDNA service and R&D lab that serves most national and CA state agencies that monitor nature. In this presentation\, Rachel Meyer will demonstrate the challenges of connecting the microscopic to regional scales across all kingdoms of life for two central purposes: monitoring sensitive habitat change and estimating habitat ‘health’.\n \n\n\nIn-Person Reception: 5:30 p.m.\nLecture: 6–7 p.m.\n\nRegister Now
URL:https://events.ucsc.edu/event/kraw-lecture-learning-earths-biodiversity-via-space-and-edna/
LOCATION:3175 Bowers Avenue Santa Clara\, CA 95054\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Lectures & Presentations
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DTSTART;TZID=America/Los_Angeles:20260204T180000
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SUMMARY:Regulatory Affairs Info Session
DESCRIPTION:Lead regulatory strategy in the evolving medical device industry.\nAs global regulations become increasingly complex\, professionals who can navigate FDA\, EU\, and international requirements are in high demand. Learn how to design and execute regulatory strategies\, manage premarket submissions using tools like the FDA’s eSTAR\, leverage AI-driven platforms for regulatory intelligence\, and ensure compliance across device lifecycles. \nSpeaker\nJoin Kiran Gulati\, chair of the UCSC Silicon Valley Extension Regulatory Affairs program\, for a detailed overview of how our courses provide practical\, hands-on training and industry-aligned skills to advance your career in regulatory affairs\, quality assurance\, and medical device compliance. \nStart exploring\nCheck out our Regulatory Affairs certificate program page for a closer look at upcoming courses and offerings. \nClaim your seat. 
URL:https://events.ucsc.edu/event/regulatory-affairs-info-session/
LOCATION:Silicon Valley Campus\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Lectures & Presentations,Meetings & Conferences,Training
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DTSTART;TZID=America/Los_Angeles:20260204T180000
DTEND;TZID=America/Los_Angeles:20260204T190000
DTSTAMP:20260421T180645
CREATED:20260128T003612Z
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SUMMARY:Pre-College Program Info Session
DESCRIPTION:Learn more about our Pre-College Programs\nDiscover what’s possible in Summer 2026! Join us for a one-hour info session to learn about our Pre-College programs\, including courses\, eligibility\, and how students can get a head start on college and career pathways. \nSpecial offer\nReceive an application fee waiver when you enroll and attend the session. \nClaim your seat.  \n 
URL:https://events.ucsc.edu/event/pre-college-program-info-session-2/
LOCATION:Silicon Valley Campus\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Lectures & Presentations,Meetings & Conferences,Training
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