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        "event_title":"Elsa Olander - Becoming: My Journey Through Stamps",
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        "combined_title":"Elsa Olander - Becoming: My Journey Through Stamps",
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        "event_type":"Exhibition",
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        "description":"Becoming is the senior thesis project of Stamps School of Art & Design student Elsa Olander. It is a multidisciplinary exhibition that traces her artistic evolution from high school student in Kenya to graduating college senior in the U.S. It explores personal growth through material experimentation, identity formation, and cultural hybridity. The work features 2-D, 3-D, and 4-D work; each piece serving as a visual artifact of transformation.\n\nBecoming isn\u2019t about arriving. It\u2019s about highlighting the moments that get us there. The doubt, discovery, and growth that shape who we are. It\u2019s a reminder to learn from the past and plan for the future, but most importantly to live in the present. We become who we are not just through all the choices we make, but through the people we surround ourselves with, the information we take-in, and what we choose to believe or question.\n\n\u201cThis exhibition is about my growth and process, but it\u2019s not singular. Many of my family members, including my mother, aren\u2019t able to attend my graduation due to the ongoing visa ban affecting several African countries. This show is my way of honoring their presence in my life, acknowledging where I\u2019ve come from, and sharing my journey with those who may not be able to witness it in person. My hope is that viewers see these works not just as a portrait of my evolution, but as an invitation to reflect, relate, and reimagine their own paths of becoming.\u201d \n-Elsa Olander\n\nBecoming: My Journey Through Stamps\n\ufeff\ufeffExhibition Dates: April 30 \u2013 May 22, 2026\n\ufeff\ufeffOpening Reception: Thursday, April 30, 5:30 \u2013 8 p.m. (RSVP Recommended)\n\ufeff\ufeffDuderstadt Center Gallery",
        "occurrence_notes":"Hours: Tue-Fri, Noon-6 pm; Sunday Noon-6 pm",
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        "tags":["Art And Design","Exhibition","Art","Africa"],
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        "datetime_modified":"20260427T142141",
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        "date_start":"2026-04-30",
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        "event_title":"Life After Grad School Seminars | Beyond the Chatbot: Making Agentic AI Useful for Engineering",
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        "combined_title":"Life After Grad School Seminars | Beyond the Chatbot: Making Agentic AI Useful for Engineering: Kevin Nelson, Founding Engineer at Datum Systems Inc, a San Francisco-based startup specializing in AI agents for engineering design.",
        "event_subtitle":"Kevin Nelson, Founding Engineer at Datum Systems Inc, a San Francisco-based startup specializing in AI agents for engineering design.",
        "event_type":"Lecture \/ Discussion",
        "event_type_id":"13",
        "description":"The evolution of Large Language Models (LLMs) has shifted from simple text generation to the \"agentic\" paradigm\u2014where AI doesn't just describe solutions but actively executes them. However, for AI to tackle quantitative domains including automotive engineering it requires more than just language; specialized toolkits are needed to navigate complex 3D environments and satisfy rigorous physics constraints.  In this talk, I introduce Datum, a San Francisco-based startup building the bridge between agentic AI and physical engineering. I will explore how we enable AI agents to search 3D geometries and automate physics simulations, putting decades of institutional knowledge and computational rigor at every engineer\u2019s fingertips. To conclude, I will share reflections on the current job market and search process, offering a founder's perspective on what it means to build\u2014and find\u2014a career at the frontier of this new technology.\n\nBIO:\nKevin Nelson is a Founding Engineer at Datum Systems Inc, a San Francisco-based startup specializing in AI agents for engineering design.\n\nBefore Datum, Kevin spent 11 years in particle physics research, starting at the College of William and Mary before coming to Michigan for his PhD and postdoctoral research with the ATLAS experiment.  His research applied geometric deep learning to beyond the standard model searches in the Higgs sector.  Now, at Datum he applies the same techniques to artificial intelligence.  When not working on AI, you can usually find him out for a run in the beautiful San Francisco weather.",
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        "tags":["Artificial Intelligence","Physics","Life After Graduate School"],
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