{ "109059-21821014": { "datetime_modified":"20230808T063106", "datetime_start":"20230724T070000", "datetime_end":"20230724T083000", "has_end_time":1, "date_start":"2023-07-24", "date_end":"2023-07-24", "time_start":"07:00:00", "time_end":"08:30:00", "time_zone":"America\/Detroit", "event_title":"Invitation: Out@Warburg Insight Series (in-person only)", "occurrence_title":"", "combined_title":"Invitation: Out@Warburg Insight Series (in-person only)", "event_subtitle":"", "event_type":"Careers \/ Jobs", "event_type_id":"2", "description":"\"Come and find out about who Warburg Pincus is, what we do and the career opportunities available to you in private equity. There will be an opportunity to network and ask questions to our investment professionals. Students from all schools and majors are encouraged to attend. This session is hosted by Out@Warburg, the firm's employee network that provides programming and content for employees who identify as LGBTQ+, with a focus on career development and networking. The event is open to undergraduate students entering their junior year this fall (Class of 2025) who identify as LGBTQ+. \n\nBreakfast will be provided. Please RSVP here: https:\/\/warburgpincus.clearcompany.com\/careers\/jobs\/9f36d210-bcae-5e98-3ca4-f5fb52c5cb75\/apply?source=2569604-CS-46317\n\nEvent Location: WARBURG PINCUS 450LEXINGTON AVENUE 36TH FLOOR I NEW YORK, NY \"\n", "occurrence_notes":null, "guid":"109059-21821014@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/109059", "building_id":"", "building_name":"", "campus_maps_id":"", "room":"", "location_name":"450 Lexington Avenue, New York City, New York 10017, United States", "has_livestream":0, "cost":"", "tags":[], "website":"", "sponsors":[ { "group_name":"University Career Center UCC", "group_id":"1140", "website":"http:\/\/careercenter.umich.edu" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21821014 } , "106075-21813676": { "datetime_modified":"20230808T063048", "datetime_start":"20230724T080000", "datetime_end":"20230724T170000", "has_end_time":1, "date_start":"2023-07-24", "date_end":"2023-07-24", "time_start":"08:00:00", "time_end":"17:00:00", "time_zone":"America\/Detroit", "event_title":"BEST Symposium 2023", "occurrence_title":"", "combined_title":"BEST Symposium 2023", "event_subtitle":"", "event_type":"Careers \/ Jobs", "event_type_id":"2", "description":"We are now accepting applications for the 17th annual Dow Building Engineering and Science Talent (BEST) Symposium. The application deadline is April 30, 2023.\n\nBEST participants will:\n\u2022\tGain a broader understanding of Dow\u2019s science and technology areas\n\u2022\tInteract with alllevels of R&D scientists & leadership\n\u2022\tNetwork with other early career scientists\n\u2022\tLearn about the skills necessary for a successful careerin a global organization\n\u2022\tLearn what industrial recruiters look for in PhD and PostDoc scientists\n\u2022\tBe exposed to an array of career opportunities in industrial research\n\nLearn more: https:\/\/corporate.dow.com\/en-us\/careers\/work-at-dow\/best-symposium.html\n\nApply: https:\/\/dow.wd1.myworkdayjobs.com\/ExternalCareers\/job\/Midland-MI-USA\/XMLNAME---BEST-Symposium---2023--_R2040674?source=Handshake\n\n\nParticipants in the conference may be considered for future employment at Dow. However, participation neither obligates the student to apply for employment, nor guarantees future consideration for employment by Dow. For those wishing to learn more about opportunities, please visit our careers page.", "occurrence_notes":null, "guid":"106075-21813676@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/106075", "building_id":"", "building_name":"", "campus_maps_id":"", "room":"", "location_name":"Midland, Michigan, United States", "has_livestream":0, "cost":"", "tags":[], "website":"", "sponsors":[ { "group_name":"University Career Center UCC", "group_id":"1140", "website":"http:\/\/careercenter.umich.edu" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21813676 } , "107464-21816065": { "datetime_modified":"20230808T063049", "datetime_start":"20230724T080000", "datetime_end":"20230724T160000", "has_end_time":1, "date_start":"2023-07-24", "date_end":"2023-07-24", "time_start":"08:00:00", "time_end":"16:00:00", "time_zone":"America\/Detroit", "event_title":"Introduction to Arms Control Course", "occurrence_title":"", "combined_title":"Introduction to Arms Control Course", "event_subtitle":"", "event_type":"Careers \/ Jobs", "event_type_id":"2", "description":"You must register at this link: https:\/\/www.pnnl.gov\/projects\/arms-control-course\n\nPacific Northwest National Laboratory (PNNL) is hosting a week-long course for undergraduate and graduate students interestedin learning about the core technical, legal, and policy concepts associated with nuclear arms control. The course will introduce students of diverse backgrounds to current and future challenges related to nuclear arms control, including treaty implementation, strategic stability, verification technologies, and related topics.\u00a0This opportunity is made availableas part of the National Nuclear Security Administration\u2019s Office of Nuclear Verification\u2019s Next Generation Arms Control Experts (NextGen ACE) initiative.\n\nEvent details:\n\nWho: Currently matriculated (or recently graduated within the past year) undergraduate, graduate, and doctoral students of all disciplines. Students should be security clearance eligible (i.e., U.S. citizens) and have an interest in nuclear arms control as a possible future career path.\n\nWhat: 5-day course on nuclear arms control,with a combination of lectures, exercises, hands-on technical demonstrations, and tours.\n\nWhen: July 24-28, 2023.\n\nWhere: Hosted at the Richland campus of PNNL in Washington State.\n\nWhy: To cultivate the next generation of arms control experts by fostering engagement with professionals who will offer career perspectives and advice while providing a holisticintroduction to the field.", "occurrence_notes":null, "guid":"107464-21816065@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/107464", "building_id":"", "building_name":"", "campus_maps_id":"", "room":"", "location_name":"Richland, Washington, United States", "has_livestream":0, "cost":"", "tags":[], "website":"", "sponsors":[ { "group_name":"University Career Center UCC", "group_id":"1140", "website":"http:\/\/careercenter.umich.edu" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21816065 } , "109335-21821482": { "datetime_modified":"20230720T113211", "datetime_start":"20230724T090000", "datetime_end":"20230724T120000", "has_end_time":1, "date_start":"2023-07-24", "date_end":"2023-07-24", "time_start":"09:00:00", "time_end":"12:00:00", "time_zone":"America\/Detroit", "event_title":"Learning Structure in High-Dimensional Data with Applications to Neuroimaging", "occurrence_title":"", "combined_title":"Learning Structure in High-Dimensional Data with Applications to Neuroimaging: Daniel Kessler", "event_subtitle":"Daniel Kessler", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"Abstract:\r\nThe scale of modern datasets, with more and more variables measured on more and more observations, presents many statistical challenges, but also opportunities to discover and exploit the rich structure that is often present in the data. In neuroimaging studies, multiple kinds of brain imaging are conducted on the same participant, with each modality of imaging having its own further structure, and many associated phenotypic measurements taken on the participants. Understanding the complicated and noisy underlying relationships between all of these measurements holds promise for scientific and treatment breakthroughs in the long term, and requires sophisticated methods designed to uncover this structure. This thesis presents three projects on learning structure in high-dimensional datasets motivated by applications in neuroimaging.\r\n\r\nThe first project considers the setting where many networks are observed on a common node set: each observation comprises edge weights, covariates observed at each node, and a response. In our neuroimaging application, the edge weights correspond to functional connectivity between brain regions, node covariates encode task activations at each brain region, and performance on a behavioral task is the response. The goal is to use the edge weights and node covariates to predict the response and to identify a parsimonious and interpretable set of predictive features. We propose an approach that uses feature groups defined according to a community structure believed to exist in the network (naturally occurring in neuroimaging applications). We propose two schemes for forming feature groups where each group incorporates both edge weights and node covariates, and derive optimization algorithms for both using an overlapping group LASSO penalty. Empirical results on synthetic data show that our method, relative to competing approaches, has similar or improved prediction error along with superior support recovery, enabling a more interpretable and potentially a more accurate understanding of the underlying process. We also apply the method to neuroimaging data.\r\n\r\nThe second project focuses on inference for structure learned using Canonical Correlation Analysis (CCA). CCA is a method for analyzing a sample of pairs of random vectors; it learns a sequence of paired linear transformations of the original variables that are maximally correlated within pairs while uncorrelated across pairs. CCA outputs both canonical correlations as well as the canonical directions which define the transformations. While inference for canonical correlations is well developed, conducting inference for canonical directions is more challenging and not well-studied, but is key to interpretability. We propose a computational bootstrap method for inference on CCA direction (kombootcca). We conduct thorough simulation studies that range from simple and well-controlled to complex but realistic and validate the statistical properties of kombootcca while comparing it to several competitors. We also apply the kombootcca method to a brain imaging dataset and discover linked patterns in brain connectivity and behavioral scores.\r\n\r\nThe third project proposes a new method for matrix CCA (matcca), which works with pairs of random matrices rather than pairs of random vectors, motivated by a neuroimaging application where the brain imaging data takes the form of a high-dimensional covariance matrix. Our matcca method uses a nuclear norm penalty that encourages the canonical directions associated with the matrix-variate data to have low rank structure when arranged into a matrix. Results from both synthetic and neuroimaging data show that matcca is very effective at recovering low rank signals even in noisy cases with few observations.", "occurrence_notes":null, "guid":"109335-21821482@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/109335", "building_id":"1000167", "building_name":"West Hall", "campus_maps_id":"163", "room":"411", "location_name":"West Hall", "has_livestream":0, "cost":"", "tags":["Dissertation"], "website":"", "sponsors":[ { "group_name":"Department of Statistics Dissertation Defenses", "group_id":"4045", "website":"" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21821482 } , "108321-21819341": { "datetime_modified":"20230524T141141", "datetime_start":"20230724T090000", "datetime_end":"20230724T200000", "has_end_time":1, "date_start":"2023-07-24", "date_end":"2023-07-24", "time_start":"09:00:00", "time_end":"20:00:00", "time_zone":"America\/Detroit", "event_title":"Selections from the Special Collections Research Center", "occurrence_title":"", "combined_title":"Selections from the Special Collections Research Center", "event_subtitle":"", "event_type":"Exhibition", "event_type_id":"7", "description":"Enjoy a selection of materials from the Special Collections Research Center, from\u00a016th century woodcuts of military weapons and devices, to lithographs of 19th century Parisian prison, to a 20th century manuscript poem by poet Robert Hayden.\r\n\r\nAvailable during Hatcher Gallery Exhibit Room hours (https:\/\/myumi.ch\/2m7d4).", "occurrence_notes":null, "guid":"108321-21819341@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/108321", 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"time_zone":"America\/Detroit", "event_title":"UN\/EARTH", "occurrence_title":"", "combined_title":"UN\/EARTH: Featured Exhibit: UN\/EARTH", "event_subtitle":"Featured Exhibit: UN\/EARTH", "event_type":"Exhibition", "event_type_id":"7", "description":"Featuring work by Gina Gibson, UN\/EARTH explores science and art from a mile underground. Located in the former Homestake gold mine in Lead, South Dakota, the Sanford Underground Research Facility (SURF) houses experiments that give us a better understanding of the universe. The location\u2014deep underground\u2014provides a near-perfect environment for experiments that need to escape the constant bombardment of cosmic radiation, which can interfere with the detection of rare physics events. Built in collaboration with the University of Michigan, the LUX-Zeplin is the world\u2019s most sensitive dark matter experiment. SURF also hosts experiments in biology, geology and engineering.\r\n\r\nGina Gibson is an internationally exhibiting artist and professor of Graphic Design at Black Hills State University. In 2019, Gibson became the first artist in residence at the Sanford Underground Research Facility. Gibson's work celebrates the search deep below the surface for beauty in the old and new, the light and dark, and the known and unknown.\r\n\r\nUN\/EARTH was developed in collaboration with the U-M Department of Physics, the Sanford Underground Research Facility and Black Hills State University.", "occurrence_notes":null, "guid":"105121-21810950@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/105121", "building_id":"1005169", "building_name":"Museum of Natural History", "campus_maps_id":"646", "room":"", "location_name":"Museum of Natural History", "has_livestream":0, "cost":"", "tags":["Art","Culture","Exhibition","Free","Museum","Natural Sciences","Science","Visual Arts"], "website":"https:\/\/www.bhsu.edu\/directory\/Faculty-and-Staff\/Gibson_Gina", "sponsors":[ { "group_name":"Museum of Natural History", "group_id":"3445", "website":"" }, { "group_name":"Department of Physics", "group_id":"1965", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2023\/02\/event_105121_original-1.jpeg", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2023\/02\/event_105121_original-1.jpeg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2023\/02\/event_105121_original-1.jpeg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2023\/02\/event_105121_original-1.jpeg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2023\/02\/event_105121_original-1.jpeg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2023\/02\/event_105121_original-1.jpeg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2023\/02\/event_105121_original-1.jpeg", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2023\/02\/event_105121_original-1.jpeg", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2023\/02\/event_105121_original-1.jpeg", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2023\/02\/event_105121_original-1.jpeg", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2023\/02\/event_105121_original-1.jpeg", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2023\/02\/event_105121_original-1.jpeg", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2023\/02\/event_105121_original-1.jpeg", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2023\/02\/event_105121_original-1.jpeg", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2023\/02\/event_105121_original-1.jpeg", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2023\/02\/event_105121_original-1.jpeg" }, "occurrence_count":162, "first_occurrence":21810827 } , "108917-21820580": { "datetime_modified":"20230628T113933", "datetime_start":"20230724T110000", "datetime_end":"20230724T120000", "has_end_time":1, "date_start":"2023-07-24", "date_end":"2023-07-24", "time_start":"11:00:00", "time_end":"12:00:00", "time_zone":"America\/Detroit", "event_title":"Become a UROP Symposium Judge", "occurrence_title":"", "combined_title":"Become a UROP Symposium Judge", "event_subtitle":"", "event_type":"Conference \/ Symposium", "event_type_id":"5", "description":"Become a judge at our Research Symposium this upcoming spring on April 19th 2023. The Spring Symposium will host around 980 presenters across the U-M campus. 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