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The series is co-sponsored by the University of Michigan Organ Department and St. Andrew\u2019s Episcopal Church in an effort to bring organ music to local audiences while connecting U-M organ students with the wider community. Concerts offer attendees the opportunity to hear the versatility of the pipe organ beyond a worship setting.\n\n*There is no recital on November 26.*", "occurrence_notes":null, "guid":"151390-21911480@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/151390", "building_id":"null", "building_name":"Off Campus Location", "campus_maps_id":"1", "room":"", "location_name":"St. Andrew\u2019s Episcopal Church, 306 N. 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This session is an opportunity to learn more about the roles that mechanical engineers can hold throughout their careers in the process industries and at Dow, and to meet members of the Dow recruiting team.Bring your resume!Food will be provided.\u00a0", "occurrence_notes":null, "guid":"153343-21915666@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/153343", "building_id":"", "building_name":"", "campus_maps_id":"", "room":"", "location_name":"GGB 1280 (Blue Lounge)", "has_livestream":0, "cost":"", "tags":["Sessions"], "website":"https:\/\/sessions.studentlife.umich.edu\/p\/track\/18214", "sponsors":[ { "group_name":"Sessions @ Michigan", "group_id":"4791", "website":"https:\/\/sessions.studentlife.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":"", 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leadership topic of interest to them. These are informal conversations (rather than workshops or presentations) between staff and these leaders who have experience with and willingness to share their wisdom around these topics.Staff are asked to register for no more than one coaching circle a semester. Space is very limited, register today!", "occurrence_notes":null, "guid":"152716-21914419@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/152716", "building_id":"", "building_name":"", "campus_maps_id":"", "room":"", "location_name":"Michigan Union Welker Room", "has_livestream":0, "cost":"", "tags":["Sessions"], "website":"https:\/\/sessions.studentlife.umich.edu\/p\/track\/18070", "sponsors":[ { "group_name":"Sessions @ Michigan", "group_id":"4791", "website":"https:\/\/sessions.studentlife.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":4, "first_occurrence":21914418 } , "152268-21913463": { "datetime_modified":"20260916T121745", "datetime_start":"20261105T132000", "datetime_end":"20261105T135000", "has_end_time":1, "date_start":"2026-11-05", "date_end":"2026-11-05", "time_start":"13:20:00", "time_end":"13:50:00", "time_zone":"America\/Detroit", "event_title":"Lon Mitchell, carillon", "occurrence_title":"", "combined_title":"Lon Mitchell, carillon", "event_subtitle":"", "event_type":"Performance", "event_type_id":"15", "description":"Lon Mitchell performs on the Ann & Robert H. 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This seminar explores several paradigms for optimal experiment design. We will start by reviewing classical design of experiments methods and modern approaches such as Bayesian optimization. These approaches do not require mechanistic models and can be effective for relatively few experimental decisions, but high-dimensional decision spaces (e.g., time-varying experimental conditions) pose significant challenges.\nThe seminar focuses on methods that exploit mathematical models grounded in engineering science to formulate experiment design as a dynamic optimization problem that maximizes expected information. Using membrane separations for critical minerals and materials recovery as a central application, I will show how mechanistic models, parameter estimation, and uncertainty quantification connect laboratory measurements to predictive models and process design. I will highlight recent advances in Pyomo.DoE, an open-source package for model-based design of experiments (MBDoE), developed by my group in collaboration with Sandia National Laboratories and others. Finally, I will introduce DoE-GPT, our emerging collection of agentic workflows that augment large language models to guide scientists and engineers through statistical analysis and experimental planning. Throughout the seminar, I will discuss practical lessons for choosing informative experiments, validating assumptions, and translating data into defensible engineering decisions. I will conclude with opportunities for experiment automation, e.g., self-driving labs, grounded in engineering science and mechanistic models.\nSelect References\nWang and Dowling. \u201cBayesian optimization for chemical products and functional materials.\u201d Current Opinion in Chemical Engineering, 2022, 36, 100728. https:\/\/doi.org\/10.1016\/j.coche.2021.100728\nWang and Dowling. \u201cPyomo.DoE: An Open-Source Package for Model-Based Design of Experiments in Python.\u201d AIChE Journal, 2022, 68(12), e17813. https:\/\/doi.org\/10.1002\/aic.17813\nLaky et al. \u201cOptimal Experimental Design Using Eigenvalue-Based Criteria with Pyomo.DoE.\u201d Digital Discovery, 2026. https:\/\/doi.org\/10.1039\/D6DD00160B\nWamble et al. \u201cOptimal Diafiltration Membrane Cascades Enable Green Recycling of Spent Lithium-Ion Batteries.\u201d ACS Sustainable Chemistry & Engineering, 2022, 10, 12207\u201312225. https:\/\/doi.org\/10.1021\/acssuschemeng.2c02862\nLiu et al. \u201cCharacterizing Transport Properties of Surface Charged Nanofiltration Membranes via Model-Based Data Analytics.\u201d Industrial & Engineering Chemistry Research, 2025, 64, 12111\u201312130. https:\/\/doi.org\/10.1021\/acs.iecr.4c04763\nLiu et al. \u201cOptimization of Reactive Ink Formulation for Controlled Additive Manufacturing of Copolymer Membrane Functionalization.\u201d ACS Applied Materials & Interfaces, 2024, 16, 59216\u201359233. https:\/\/doi.org\/10.1021\/acsami.4c11749\nYao et al. \u201cRobust Optimization of Flexible Diafiltration Systems for Critical Mineral Separations.\u201d Chemical Engineering Journal Advances, 2026, 27, 101282. https:\/\/doi.org\/10.1016\/j.ceja.2026.101282\n\n\nBio: \n\nAlexander (Alex) Dowling is the Tony and Sarah Earley Collegiate Associate Professor of Energy and the Environment at the University of Notre Dame (Indiana, USA). His research combines chemical engineering, computational optimization, machine learning, and data science, organized in three research themes: (1) molecular-to-systems (multiscale) modeling and optimization, (2) optimal design of experiments and statistical inference, and (3) machine learning for bridging timescales.\nApplication domains span sustainable energy, environmental management, and systems biology. Prof. Dowling has been recognized with several awards, including the NSF CAREER award, the CAST Outstanding Young Researcher Award, the Junior Sargent Medal, and the James A. Burns, C.S.C., Award. 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