By ChatGPT for me to attend this week at the University of Michigan
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FEATURING: Mario L. Suvà, M.D., Ph.D. Associate Professor of Pathology Harvard Medical School ABSTRACT: We will discuss recent efforts to characterize primary and recurrent gliomas with single-cell and spatial genomic technologies. We will also discuss efforts to model glioblastoma in the lab. We will place the findings in the broader context of the cellular architecture of brain tumors and of cancer cell states. Meeting ID: 951 1039 3570 Passcode: 531489
Event LinkAbstract: Data is playing an increasingly crucial role in modern health sciences. With the transition to electronic health systems, growing collaborations among institutions, and the rapid advancement of genome sequencing technologies, health data has become more accessible than ever before. However, the large-scale nature of health data presents unique challenges for statistics and data science in distilling, integrating, and generalizing knowledge, due to its high dimensionality, diverse modal ...
Event LinkIn the past few years, the Indigenous movement has emerged as one of the strongest social movements in Brazil, embedded in a long history of resistance to settler colonialism and genocide. The land struggle carried out by the Tupinambá of Serra do Padeiro, in Southern Bahia, in the Northeast of the country, provides a striking example of Indigenous mobilization to assert territorial rights. In 2004, they began to carry out direct actions, called *retomadas de terras*, to recover their territory, ...
Event LinkJoin OGPS CPD for an informational session about our cohort program, PhD Career Ladder Program (PLCP).Learn more about what this cohort program involves, what you can learn, and how to apply!
Event LinkThis annual prize competition, organized by MI Hydrogen and sponsored by Fortescue, seeks to accelerate the adoption of hydrogen as a clean and sustainable energy carrier. We invite University of Michigan students to develop innovative business cases for Michigan-centered, regional deployment of hydrogen technology in key sectors such as transportation and industrial applications.Join us in shaping the future of energy in Michigan and beyond.Learn More About the Hydrogen Grand Challenge
Event LinkAre you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you. All members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others. Tuesdays, 9:30-11 a.m. ET, via Zoom (Meeting ID:94181215786) Wednesdays, 1:30-3 p.m. ET, via Zoom (Meeting ID: 98659357324)
Event LinkSampling from probability distributions is a fundamental challenge in physics and data science. State-of-the-art methods often rely on building efficient dynamics for probability measures. This talk examines the analysis and design of such dynamics, drawing insights from and targeting applications in high-dimensional scientific computing. In the first part, we uncover and analyze a novel 'delocalization of bias' phenomenon in MCMC with Langevin dynamics. While sampling bias increases ...
Event LinkAre you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you. All members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others. Tuesdays, 9:30-11 a.m. ET, via Zoom (Meeting ID:94181215786) Wednesdays, 1:30-3 p.m. ET, via Zoom (Meeting ID: 98659357324)
Event LinkQuantum mechanics revolutionized our understanding of the natural world in the early 20th century. Today, more than 100 years later, experimental control of certain physical systems described by quantum theory has led to a tantalizing pursuit. Can we build a computer that stores and acts on information encoded in the quantum mechanical wave function of a physical system? Can such a machine be made computationally useful? Could it be made general purpose? In this talk, I will discus ...
Event LinkWe derive an asymptotic expansion of Laplace-type integrals in which dimension grows together with the large parameter in the exponent. This fills a gap in the theory between the classical fixed dimensional regime dating back to Laplace, and more recent work on the asymptotic expansion of infinite dimensional Laplace-type integrals due to Ben Arous. We also present related work on approximations of high-dimensional Laplace-type probability densities. These results resolve several long-standing o ...
Event LinkRashaad Newsome is a multidisciplinary artist whose work blends several practices — collage, sculpture, video, music, computer programming, and performance — to form an altogether new field. He seamlessly merges art, code, film, and community-building to create immersive experiences that explore the intersections of Blackness, queerness, and futurism. Using the equalizing force of sampling, he crafts compositions that surprise in their associative potential and walk the tightrope between ...
Event LinkAbstract: We derive an asymptotic expansion of posterior integrals in the regime in which dimension grows together with sample size. We also present related work on the accuracy of the Laplace approximation (LA) to high-dimensional posterior densities, and derive a higher-order correction to the LA. These results are both theoretically significant and useful for the computations involved e.g. in Bayesian model selection and construction of credible sets. Finally, we prove the tightest kn ...
Event LinkThis talk presents an integrated theory of attentional control in organizations, building on the attention-based view (ABV) and drawing upon the neuroscience of attentional control. I propose that intentional organizational behavior is shaped by top-down mechanisms of attentional control—organizational goals and logics of action and how these are enacted within internal and external communication channels. These structures and processes moderate the focus of attention within and by organizations ...
Event LinkMexican immigrants and migrants have been crossing back and forth along the US Mexico border for 150 years, and yet exile is most often associated with the political migrations that took place during the Mexican Revolution. This lecture will address the tensions between forced and voluntary exile of Mexican migrants over the years, as well as how we might grapple with notions of exile as they relate to economic and violent displacement. It will also discuss the many meanings of home, especially ...
Event LinkPhD students, together with other graduate students, postdocs, and faculty from across departments and disciplines gather often at the University of Michigan to share ideas, build collaborations, and foster innovation. Michigan University-wide Sustainability and Environment (MUSE) gathers with the purpose to advance these broad conversations through seminars, book clubs, writing retreats, discussions, hackathons, and social events.
Event LinkRackham program staff and faculty are invited to attend the Rackham Merit Fellowship (RMF) Information Session with the PACE team. During this virtual meeting we will discuss the goals of the RMF program, how to assess eligibility and evaluate for the RMF criteria, review the award process including the new application for RMF allocations, and answer any questions you have about the administration of the fellowship. Whether or not you attend the information session, we encourage you to visit our ...
Event LinkJoin RMF for a fun evening of bowling at Revel & Roll! Heavy appetizers and soda will be provided, as well as bowling shoes, balls, and lane rental. Don't forget to wear or bring socks! You are welcome to bring one adult guest or 1-2 children. Just be sure to indicate your guest's name in the registration form. For children, bumpers can be added to the lanes. Sensory note: Revel and Roll has bright lights and large projector screens with music vide ...
Event LinkThe unadjusted Langevin algorithm is commonly used to sample probability distributions in extremely high-dimensional settings. However, existing analyses of the algorithm for strongly log-concave distributions suggest that, as the dimension $d$ of the problem increases, the number of iterations required to ensure convergence within a desired error in the $W_2$ metric scales in proportion to $d$ or $\sqrt{d}$. In this work, we argue that, despite this poor scaling of the $W_2$ error ...
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