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        "event_title":"Afternoon Carillon: Carson Landry",
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        "event_title":"Community Forum: Statement on Graduate Faculty Values, Privileges, and Responsibilities",
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        "event_title":"Inside Track: Frontend",
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        "datetime_modified":"20221116T123103",
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        "event_title":"Internship Lab",
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        "description":"*RSVP for this program by clicking \"Join Event\". Viewing this event outside of Handshake? Click here: \nhttps:\/\/app.joinhandshake.com\/edu\/events\/1159887\/\n\nAre you ready to start searching for a great internship? Do you have a few ideas, but you\u2019re not sure where to get started? Let's talk about search strategy!!\n\nGet real-time, personalized supportby checking out the virtual Internship Lab. You\u2019ll be guided by one of our Career Coaches who has designed this experience to provide you strategies, tools, and motivation to get on the right track with searching for internships.\n\nChat with folks from the University Career Center to explore Handshake, the University Career Alumni Network (UCAN) and to learn about other tools you can use to build a great job\/internship search strategy.\n\n**If you're not sure what you're interested in, consider making an \"Exploring Major\/Career Option\" appointment to get started clarifying yourinterests with a career coach in a 1-on-1 setting.\n\nRecent Grads: If you are an alumni, you will not be able to access the link due the University\u2019s policy of discontinuing alumni Zoom accounts 30 days after graduation. Please contact careercenter@umich.edu with the subject line \u201cRecent Grad Help\u201d to receive either a recording of the session or to be set up with a 1:1. Include the name of the workshop\/event in your email.",
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        "event_title":"PhD Research Talk: Mohammad Zhalechian",
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        "description":"Seminar Abstract:\r\nThe rapid growth of information and accessibility to big data provide a unique opportunity to shift toward data-driven decision-making. These real-time paradigms (i) adaptively learn a model that predicts a user-specific outcome for each available decision (prediction) and (ii) harness this model to make data-driven decisions for subsequent users (prescription).\r\n \r\nAlthough there have been tremendous advances in data-driven decision-making, such advances often cannot be applied to operations management problems because of their complexity. This brings forward several challenges and opportunities. In this talk, I discuss two challenges in healthcare and service operations: the need for joint learning and decision-making under limited resources and delayed feedback. I then introduce a data-driven predictive and prescriptive framework with provable performance guarantee to solve a hospital's care unit assignment problem. The effectiveness of this framework is illustrated using hospital system data.\r\n \r\nI will end the talk by discussing my broader research agenda on dealing with other practical and societal challenges that arise in developing data-driven decision-making frameworks.\r\n\r\n\r\nPresenter Bio:\r\nMohammad Zhalechian is a postdoctoral fellow at the Harvard Kennedy School. His research focuses on data-driven analytics to solve a wide range of problems in healthcare and service operations. He has collaborated closely with hospitals, clinics, and government agencies. Mohammad earned his Ph.D. in Operations Research in Aug 2022 at the University of Michigan, where he was advised by Prof. Mark Van Oyen. He is the recipient of awards, including second place in the 2020 INFORMS Decision Analysis Society Best Paper Award, finalist in the 2020 INFORMS Seth Bonder Scholarship of Health Applications Society, and winner of the 2021 IOE Richard C. Wilson Best Student Paper Award. His research work has also received multiple recognitions in the best paper competitions from MSOM, POMS, and HAS communities.",
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