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BEGIN:VEVENT
DTSTAMP:20250421T113230
DTSTART;TZID=America/Detroit:20250523T120000
DTEND;TZID=America/Detroit:20250523T160000
SUMMARY:Exhibition:Bloody Work: Lexington and Concord 1775
DESCRIPTION:The William L. Clements Library is pleased to announce a forthcoming exhibition in recognition of the 250th Anniversary of the military hostilities that began the American Revolutionary War. The Battles of Lexington and Concord are firmly established in American memory as the culmination of a range of governmental\, political\, economic\, and social tensions that amplified in the decade leading up to 1775. In this exhibit\, visitors will have the opportunity to see original historical manuscript letters\, documents\, newspapers\, and artwork that reveal aspects of the bloody work of Empire and individual alike in April 1775.\n\nAmong the items on display will be Commander in Chief of the British Army\, General Thomas Gage's draft orders for the Concord Expedition\, April 18\, 1775\; a bundle of letters collected by former Sons of Liberty supporter Dr. Benjamin Church\, which he secretly turned over to British Army intelligence\; letters by Silas Deane\, John Hancock\, and Rachel Revere\; and much more.\n\nOpen weekdays from 12-4 pm.
UID:134875-21875540@events.umich.edu
URL:https://events.umich.edu/event/134875
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Library,libraries,history,Free,Exhibition,american culture,american history,Americana,Ann Arbor,Exhibit
LOCATION:William Clements Library
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250523T090156
DTSTART;TZID=America/Detroit:20250523T120000
DTEND;TZID=America/Detroit:20250523T130000
SUMMARY:Workshop / Seminar:Frontiers in Scientific Machine Learning Seminar 14: Inferring and Characterizing Cellular and Neural Dynamics with Geometric and Topological Deep Learning
DESCRIPTION:This is a hybrid event. Attendees can join on-campus or virtually via Zoom.\nZoom ID - 978 2352 7756\, Passcode - (last year in format YYYY)\n\nAbstract: \nIn the last decade there has been a data revolution in biology with the advent of high-throughput high dimensional data modalities such as single-cell RNA-sequencing\, fMRI data\, molecular structure data and other modalities. A key issue in these data types is that they provide static snapshots of highly dynamic biological entities. In this talk I will cover our work inferring and characterizing cellular and neural dynamics during various processes. First\, I will cover how to infer cell state dynamics during differentiation and disease with a  neural ODE framework called MIOflow that is regularized with data geometric and manifold priors. Then I will discuss RITINI\, our recent graph ODE network which allows us to learn gene regulation that underlies cellular dynamics\, and potentially find new targets for treatments of disease. I will showcase applications of these in triple negative breast cancer and human embryonic stem cell differentiation. Once these dynamics are available\, I will showcase tools to quantify and classify these dynamics based on graph signal processing and topological data analysis. This will involve our learnable geometric scattering transform to capture spatial signal patterns\, as well as persistence homology and other tools to quantify time-varying patterns. Applications to characterization of brain activity data will be presented. \n\n\nBio:\nSmita Krishnaswamy is an Associate Professor in the departments of Computer Science (SEAS) and Genetics (YSM). She is part of the programs in Applied Mathematics\, Computational Biology & Bioinformatics and Interdisciplinary Neuroscience. She is also affiliated with the Yale Institute for the foundations of data science\, Wu-Tsai Institute\, Yale Cancer Center. Her lab works on fundamental deep learning and machine learning developments for representing and learning from big data. Her techniques incorporate mathematical priors from graph spectral theory\, manifold learning\, signal processing\, and topology into machine learning and deep learning frameworks\, in order to denoise and model the underlying systems faithfully for predictive insight. Currently her methods are being widely used for data denoising\, visualization\, generative modeling\, dynamics. modeling\, comparative analysis and domain transfer in datasets arising from stem cell biology\, cancer\, immunology and structural biology (among others).\nPrior to joining Yale\, she completed her postdoctoral training at Columbia University in the systems biology department where she focused on learning computational models of cellular signaling from single-cell mass cytometry data. She obtained her Ph.D. from EECS department at University of Michigan where her research focused on algorithms for automated synthesis and probabilistic verification of nanoscale logic circuits. Following her time in Michigan\, she spent 2 years at IBM's TJ Watson Research Center as a researcher in the systems division where she worked on automated bug finding and error correction in logic. Her work over the years has won several awards including the NSF CAREER Award\, Sloan Faculty Fellowship\, and Blavatnik fund for Innovation.
UID:135738-21877210@events.umich.edu
URL:https://events.umich.edu/event/135738
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai In Science And Engineering,Biology,Computational Modeling,Deep Learning,Machine Learning,Sciml
LOCATION:GG Brown Laboratory - 1642
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260112T144046
DTSTART;TZID=America/Detroit:20250523T120000
DTEND;TZID=America/Detroit:20250523T123000
SUMMARY:Well-being:Heartfulness Guided Meditation
DESCRIPTION:Heartfulness Guided Meditation is a weekly\, drop-in program designed to help you Mental well-being. \n\nAll U-M students\, faculty\, and staff are welcome to participate in guided meditation practice with a trainer every Friday at noon over Zoom (details to join are provided below). No prior experience with meditation is required. \n\n*What will you learn?*\n\nThe guided meditation practice involves three simple steps: relaxation\, rejuvenation\, and meditation.\n\nRelaxation brings your body to a calm\, steady posture creating a stillness at the physical level\, and prepares the mind for meditation. We follow this with a rejuvenation method to detox the mind to let go of stress and complex emotions\, and will leave you feeling light and refreshed. Lastly\, learning to meditate by being mindful of your heart will connect you with yourself by listening to your heart’s voice. \n\n*Why Meditate?*\n\nWhile physical fitness keeps our bodies in shape\, meditation is an exercise for the mind and mental wellness. In addition to the measurable benefits mentally and physically\, many people benefit from an unquantifiable inner poise and harmony. \n\n*Please take Learn to Meditate session if you are new to the practice. These sessions are offered Monthly.* https://events.umich.edu/event/128708\n\n*Event Details*\n\nHeartfulness Guided Meditation \nFridays from 12-12:30 p.m. ET (except during university season days / holidays)\nJoin Via Zoom Meeting\nRegister to receive Passcode (see “Related links”\n\n\nThis wellness program is coordinated by ITS Teaching & Learning and provided at no cost by heartfulness.org.
UID:88544-21865090@events.umich.edu
URL:https://events.umich.edu/event/88544
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Free,Health & Wellness,Well-being
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20251030T111431
DTSTART;TZID=America/Detroit:20250523T120000
DTEND;TZID=America/Detroit:20250523T124500
SUMMARY:Exhibition:We Are Stars
DESCRIPTION:What are we made of? Where did it all come from? Explore the secrets of our cosmic chemistry and our explosive origins. Connect life on Earth to the evolution of the Universe by following the formation of hydrogen atoms to the synthesis of carbon\, and the molecules for life.
UID:124092-21876241@events.umich.edu
URL:https://events.umich.edu/event/124092
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Museum,natural history museum,Planetarium,Science
LOCATION:Museum of Natural History - Planetarium & Dome Theater
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250505T103736
DTSTART;TZID=America/Detroit:20250523T140000
DTEND;TZID=America/Detroit:20250523T160000
SUMMARY:Presentation:A Theory of Higher Order Perivations
DESCRIPTION:Abstract:\n\nIn this thesis\, we develop a theory of higher-order perivations\, introducing a new class of algebraic operators termed perivential operators. Drawing inspiration from Grothendieck’s construction of differential operators via iterated commutators\, we define perivential operators inductively using a new bracket operation called the p-bracket. This framework generalizes perivations and mirrors the structural hierarchy of differential operators. We provide a new construction of the universal perivation module via a multiplication map\, analogous to the classical construction of the module of Kähler differentials. We establish a direct connection between this multiplication map and the perivential operators\, leading to the construction of a universal module of periventials that parallels the classical module of principal parts. Furthermore\, for finitely generated Z-algebras\, we give an explicit presentation of the universal module of periventials.
UID:135345-21876736@events.umich.edu
URL:https://events.umich.edu/event/135345
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Graduate,Mathematics,Graduate Students,Dissertation
LOCATION:East Hall - 3096
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250507T154122
DTSTART;TZID=America/Detroit:20250523T140000
DTEND;TZID=America/Detroit:20250523T144500
SUMMARY:Exhibition:Dynamic Earth
DESCRIPTION:The show explores the inner workings of Earth’s climate system. With visualizations based on satellite monitoring data and advanced supercomputer simulations\, this cutting-edge production follows a trail of energy that flows from the Sun into the interlocking systems that shape our climate: the atmosphere\, oceans\, and the biosphere.\n\nAudiences will ride along on swirling ocean and wind currents\, dive into the heart of a monster hurricane\, come face-to-face with sharks and gigantic whales\, and fly into roiling volcanoes.
UID:135104-21876294@events.umich.edu
URL:https://events.umich.edu/event/135104
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Museum,Space,Planetarium,Natural Sciences,natural history museum
LOCATION:Museum of Natural History - Planetarium & Dome Theater
CONTACT:
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