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X-WR-CALDESC:Events for School of Public Health
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241202T130000
DTEND;TZID=America/Chicago:20241202T140000
DTSTAMP:20260523T170012
CREATED:20240829T162230Z
LAST-MODIFIED:20240829T162230Z
UID:689095-1733144400-1733148000@dev-site.sph.umn.edu
SUMMARY:SPH Graduate Virtual Application Drop-In Session
DESCRIPTION:Have a quick question that you want to talk through? Drop into this virtual session to connect with one of our admission staff members. There will not be any formal presentation. \nBecause of the nature of student questions\, a virtual waiting room will be used. If SPH staff are meeting with another student\, they will let you into the room in the order in which you entered the waiting room. We appreciate your patience. \nThis session is not recorded or shared.
URL:https://dev-site.sph.umn.edu/event/sph-virtual-application-drop-in-session-14/
LOCATION:Virtual
CATEGORIES:Prospective Students
ATTACH;FMTTYPE=image/jpeg:https://dev-site.sph.umn.edu/wp-content/uploads/2024/07/goldy-statue.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241202T150000
DTEND;TZID=America/Chicago:20241202T160000
DTSTAMP:20260523T170012
CREATED:20241122T155049Z
LAST-MODIFIED:20241122T155049Z
UID:690469-1733151600-1733155200@dev-site.sph.umn.edu
SUMMARY:BHDS Seminar with Ying Cui
DESCRIPTION:Advancing Biomedical Data Science: From Population Insights to Personalized Decisions \nPresented by Ying Cui\, PhD\nPostdoctoral Scholar\nStanford University\n* Candidate for faculty position in the Division of Biostatistics and Health Data Science \nRapid advances in biomedicine have enabled us to address important questions that were once intractable. There is a pressing need for analyzing massive data sets emerging from cutting-edge technologies\, presenting challenges such as high-dimensionality and multi-modality. Additionally\, there has been rising interests in personalized decision-making. Inspired by these challenges\, my research aims to enhance the integration of statistical insights and data science innovations in biomedical research. In this talk\, I will cover two projects. \nThe first part of the talk explores key questions about identifying covariates relevant to clinical outcomes of interest. Addressing these questions\, however\, can be complicated due to the presence of complex covariate effects. To tackle this problem\, I developed a new testing and screening framework by adopting a global view via the novel concept of interval quantile independence. I showed that this general testing framework can naturally yield both unconditional and conditional screening procedures for ultra-high dimensional settings and enjoy the sure screening property. \nIn the second part of the talk\, I address the feature selection problem from a personalized perspective. I designed a novel dynamic prediction rule to determine the optimal order of acquiring features in predicting clinical outcomes of interest for individual subjects. The goal is to optimize model performance while reducing the costs associated with measuring features. To achieve this\, I employed reinforcement learning\, where the agent decides the best action at each step: either making a final decision or continuing to collect new predictors. The proposed approach mirrors and improves real life decision-making processes\, employing a “learn-as-you-go” paradigm. \nA seminar tea will be held at 2:45 p.m. in University Office Plaza\, Room 240.
URL:https://dev-site.sph.umn.edu/event/bhds-seminar-with-ying-cui/
LOCATION:University Office Plaza\, Room 240\, 2221 University Ave SE\, Minneapolis\, MN\, 55414\, United States
CATEGORIES:Current Students,Faculty/Staff
ATTACH;FMTTYPE=image/png:https://dev-site.sph.umn.edu/wp-content/uploads/2024/02/biostats-webpage-graphic-@3x.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241204T110000
DTEND;TZID=America/Chicago:20241204T120000
DTSTAMP:20260523T170012
CREATED:20241104T202823Z
LAST-MODIFIED:20241119T204711Z
UID:690263-1733310000-1733313600@dev-site.sph.umn.edu
SUMMARY:The Bite of the Brute: Hounds\, Hydrophobia\, and Anti-Blackness as a Public Health Concern
DESCRIPTION:For most of the 19th century\, rabies was almost certainly a death sentence. Sensational media headlines stoked a fear-driven public into a panic about the ever-looming threat of “mad dogs.” At the same time\, similar tactics were employed to keep the public fearful of and hateful toward Black Americans\, who were also considered animalistic and dangerous to society. This presentation will interrogate some of the ways that the presence of Black Americans has been treated as a threat to the wellness of the public in the past and present\, and how dehumanization has been a central strategy for that purpose.
URL:https://dev-site.sph.umn.edu/event/the-bite-of-the-brute-hounds-hydrophobia-and-anti-blackness-as-a-public-health-concern/
LOCATION:Virtual
CATEGORIES:Admitted Students,Alumni,Current Students,Faculty/Staff,General Public
ATTACH;FMTTYPE=image/png:https://dev-site.sph.umn.edu/wp-content/uploads/2023/12/jiph-website-graphic-@3x.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241204T150000
DTEND;TZID=America/Chicago:20241204T160000
DTSTAMP:20260523T170012
CREATED:20241122T155438Z
LAST-MODIFIED:20241122T155438Z
UID:690471-1733324400-1733328000@dev-site.sph.umn.edu
SUMMARY:BHDS Seminar with Mengxin (Maxine) Yu
DESCRIPTION:Uncertainty-Aware Human Preference Study and Machine Learning Predictions \nPresented by Mengxin (Maxine) Yu\nDepartment of Statistics and Data Science\nUniversity of Pennsylvania\n* Candidate for faculty position in the Division of Biostatistics and Health Data Science \nRecent advances in machine learning (ML) or artificial intelligence (AI) have affected biomedical research\, from drug discovery to clinical diagnostics and patient care. In healthcare and biostatistics\, ranking algorithms are crucial for aligning (AI) systems with human preferences and facilitating critical decisions\, such as hospital ranking\, treatment options selection\, and public health campaign strategy ranking. Meanwhile\, many biomedical applications heavily rely on black-box ML models\, including treatment effect prediction and cancer classification. This raises two fundamental questions about reliability: \n1. How can we ensure ranking outputs reflect genuine preference signals rather than noise? \n2. How can we address ML/AI models’ inherent opacity and potential for hallucinations—outputs that appear plausible but are factually incorrect? \nThis talk examines these challenges through a statistical lens. First\, I will present a unified method for quantifying uncertainty in ranking algorithms\, focusing on individual-level rankings\, top-choice sets\, and preference variations across diverse patient populations. These methods also apply to disease risk screening\, risk factors ranking\, and variable importance assessment. Second\, I will introduce a novel approach for constructing reliable prediction sets for ML outputs designed for complex data structures\, including images\, hierarchical data and networks. These methodologies are particularly relevant for cluster-randomized trials in clinical settings\, where prediction reliability is essential. \nA seminar tea will be held at 2:45 p.m. in University Office Plaza\, Room 240. All are Welcome.
URL:https://dev-site.sph.umn.edu/event/bhds-seminar-with-mengxin-maxine-yu/
LOCATION:University Office Plaza\, Room 240\, 2221 University Ave SE\, Minneapolis\, MN\, 55414\, United States
CATEGORIES:Current Students,Faculty/Staff
ATTACH;FMTTYPE=image/png:https://dev-site.sph.umn.edu/wp-content/uploads/2024/02/biostats-webpage-graphic-@3x.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241206T100000
DTEND;TZID=America/Chicago:20241206T110000
DTSTAMP:20260523T170012
CREATED:20241120T174100Z
LAST-MODIFIED:20241204T205818Z
UID:690434-1733479200-1733482800@dev-site.sph.umn.edu
SUMMARY:The Epidemiology of Solid Organ Donation and Transplantation in the United States
DESCRIPTION:The organ transplant system in the United States is a complex system designed to allocate the limited resource of donated organs to the more than 100\,000 individuals awaiting life-saving transplants. A set of organ allocation policies aims to provide the donated organs to the recipients in need in a predetermined order to achieve a set of principles guided by federal regulations. In this seminar\, we will delve into the intricacies of the organ donation and transplantation system in the United States and examine how the field of epidemiology contributes to the ongoing evaluation and enhancement of this system.
URL:https://dev-site.sph.umn.edu/event/the-epidemiology-of-solid-organ-donation-and-transplantation-in-the-united-states/
LOCATION:West Bank Office Building\, Room 364\, 1300 S 2nd St\, Minneapolis\, MN\, 55455\, United States
CATEGORIES:Current Students,Faculty/Staff
ATTACH;FMTTYPE=image/png:https://dev-site.sph.umn.edu/wp-content/uploads/2024/01/epi-seminar-graphic.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241206T133000
DTEND;TZID=America/Chicago:20241206T143000
DTSTAMP:20260523T170012
CREATED:20241122T155738Z
LAST-MODIFIED:20241122T155738Z
UID:690474-1733491800-1733495400@dev-site.sph.umn.edu
SUMMARY:BHDS Seminar with Sijia Li
DESCRIPTION:Efficient Estimation Under Data Fusion \nPresented by Sijia (Lucy) Li\, Ph.D.\nPostdoctoral Research Fellow\nHarvard T.H. Chan School of Public Health \n* Candidate for faculty position in the Division of Biostatistics and Health Data Science \nThe rapid expansion of available data has facilitated the use of data fusion\, which allows researchers to combine information from many data sources to obtain valid summaries of a target population of interest. For example\, technology companies integrate massive unlabeled data with a small amount of labelled data to make accurate predictions. In education\, policymakers leverage multiple datasets generated by different current policies to evaluate a new policy. In public health\, researchers merge randomized trial data with observational data to transport causal conclusions on treatment effect to different populations. Due to the considerable number of open problems in this area\, it is of interest to in develop a general framework and approach that would allow researchers to tackle data fusion problems without limiting themselves to specific parameter of interests\, data structures or the number of data sources. In this talk\, I will introduce our proposed unified data fusion framework and approach using tools from semiparametric efficiency theory. \nA seminar tea will be held at 1:15 p.m. in University Office Plaza\, Room 116. All are Welcome.
URL:https://dev-site.sph.umn.edu/event/bhds-seminar-with-sijia-li/
LOCATION:University Office Plaza\, Room 114/116\, 2221 University Ave SE\, Minneapolis\, MN\, 55414\, United States
CATEGORIES:Current Students,Faculty/Staff
ATTACH;FMTTYPE=image/png:https://dev-site.sph.umn.edu/wp-content/uploads/2024/02/biostats-webpage-graphic-@3x.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241209T130000
DTEND;TZID=America/Chicago:20241209T140000
DTSTAMP:20260523T170012
CREATED:20240829T162436Z
LAST-MODIFIED:20240829T162524Z
UID:689097-1733749200-1733752800@dev-site.sph.umn.edu
SUMMARY:SPH Graduate Virtual Application Drop-In Session
DESCRIPTION:Have a quick question that you want to talk through? Drop into this virtual session to connect with one of our admission staff members. There will not be any formal presentation. \nBecause of the nature of student questions\, a virtual waiting room will be used. If SPH staff are meeting with another student\, they will let you into the room in the order in which you entered the waiting room. We appreciate your patience. \nThis session is not recorded or shared.
URL:https://dev-site.sph.umn.edu/event/sph-virtual-application-drop-in-session-16/
LOCATION:Virtual
CATEGORIES:Prospective Students
ATTACH;FMTTYPE=image/jpeg:https://dev-site.sph.umn.edu/wp-content/uploads/2024/07/goldy-statue.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241209T150000
DTEND;TZID=America/Chicago:20241209T160000
DTSTAMP:20260523T170012
CREATED:20241122T160107Z
LAST-MODIFIED:20241202T164603Z
UID:690476-1733756400-1733760000@dev-site.sph.umn.edu
SUMMARY:BHDS Seminar with Ye Tian
DESCRIPTION:Transfer and Multi-task Learning: Statistical Insights for Modern Data Challenges \nPresented by Ye Tian\nDepartment of Statistics\nColumbia University \n* Candidate for faculty position in the Division of Biostatistics and Health Data Science \nKnowledge transfer\, a core human ability\, has inspired numerous data integration methods in machine learning and statistics. However\, data integration faces significant challenges: (1) unknown similarity between data sources; (2) data contamination; (3) high-dimensionality; and (4) privacy constraints. This talk addresses these challenges across diverse contexts\, presenting both innovative statistical methodologies and theoretical insights. \nIn Part I\, I will introduce a transfer learning framework for high-dimensional generalized linear models that combines a pre-trained Lasso with a fine-tuning step. We provide theoretical guarantees for both estimation and inference\, and apply the methods to predict county-level outcomes of the 2020 U.S. presidential election\, uncovering valuable insights. \nIn Part II\, I will explore an unsupervised learning setting where task-specific data is generated from a mixture model with heterogeneous mixture proportions. This complements the supervised learning setting discussed in Part I\, addressing scenarios where labeled data is unavailable. We propose a federated gradient EM algorithm that is communication-efficient and privacy-preserving\, providing estimation error bounds for the mixture model parameters. We demonstrate the method’s effectiveness via applications to handwritten digit clustering. \nIn Part III\, I will present a representation-based multi-task learning framework that diverges from the distance-based similarity notion explored in Parts I and II. This framework is connected to modern applications in representation learning for image classification and natural language processing. We establish theoretical results on the fundamental limits of representation-based multi-task learning under conditions of representation heterogeneity and task-level data contamination\, offering novel insights into their impact on learning performance. \nFinally\, I will summarize the talk and briefly introduce my broader research contributions\, including robust transfer learning\, imbalanced classification error control\, and advancements in high-dimensional statistics. The three main sections of this talk are based on a series of papers and a short course I co-taught at NESS 2024. More about me and my research can be found at https://yet123.com. \nA seminar tea will be held at 2:45 p.m. in University Office Plaza\, Room 240. All are Welcome.
URL:https://dev-site.sph.umn.edu/event/bhds-seminar-with-ye-tian/
LOCATION:University Office Plaza\, Room 240\, 2221 University Ave SE\, Minneapolis\, MN\, 55414\, United States
CATEGORIES:Current Students,Faculty/Staff
ATTACH;FMTTYPE=image/png:https://dev-site.sph.umn.edu/wp-content/uploads/2024/02/biostats-webpage-graphic-@3x.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241210T083000
DTEND;TZID=America/Chicago:20241210T110000
DTSTAMP:20260523T170012
CREATED:20241204T154837Z
LAST-MODIFIED:20241204T154837Z
UID:690568-1733819400-1733828400@dev-site.sph.umn.edu
SUMMARY:Finals De-stress Event with SPH Student Senate!
DESCRIPTION:Decompress and de-stress with SPH student senators and fellow students! Join us and enjoy bagels\, snacks\, coffee\, and hot chocolate!
URL:https://dev-site.sph.umn.edu/event/finals-de-stress-event-with-sph-student-senate/
LOCATION:Mayo Building\, outside the dean’s office\, 420 Delaware Street\, Minneapolis\, MN\, 55455\, United States
CATEGORIES:Current Students
ATTACH;FMTTYPE=image/jpeg:https://dev-site.sph.umn.edu/wp-content/uploads/2024/10/coffee-and-bagels.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241210T100000
DTEND;TZID=America/Chicago:20241210T110000
DTSTAMP:20260523T170012
CREATED:20241120T175109Z
LAST-MODIFIED:20241120T175109Z
UID:690437-1733824800-1733828400@dev-site.sph.umn.edu
SUMMARY:Making Meetings Matter: Designing with a Purpose
DESCRIPTION:Transform your meetings into purposeful\, engaging\, and effective gatherings with this webinar. Learn the essential elements that make meetings productive\, enjoyable\, and meaningful\, while exploring the critical role of the facilitator. Gain practical tools and techniques to design impactful meetings that leave a lasting impression. Whether you’re an experienced leader or new to running meetings\, this session will build your skills and confidence to make every meeting matter.
URL:https://dev-site.sph.umn.edu/event/making-meetings-matter-designing-with-a-purpose/
LOCATION:Virtual
CATEGORIES:Alumni,Current Students,Faculty/Staff,General Public
ATTACH;FMTTYPE=image/jpeg:https://dev-site.sph.umn.edu/wp-content/uploads/2024/03/mcohs-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241210T120000
DTEND;TZID=America/Chicago:20241210T130000
DTSTAMP:20260523T170012
CREATED:20240820T144226Z
LAST-MODIFIED:20240820T144258Z
UID:688819-1733832000-1733835600@dev-site.sph.umn.edu
SUMMARY:Job and Applied Practice Search Strategies
DESCRIPTION:Many students find the job/Applied Practice search process daunting and frustrating. In this session\, students will learn best practices and result-oriented strategies for an effective job search. Topics include focusing your search through research\, marketing yourself to employers\, and building a strong professional network.
URL:https://dev-site.sph.umn.edu/event/job-and-applied-practice-search-strategies-6/
LOCATION:Virtual
CATEGORIES:Current Students
ATTACH;FMTTYPE=image/png:https://dev-site.sph.umn.edu/wp-content/uploads/2023/09/career-workshops.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241211T120000
DTEND;TZID=America/Chicago:20241211T130000
DTSTAMP:20260523T170012
CREATED:20240829T150044Z
LAST-MODIFIED:20240829T150044Z
UID:689077-1733918400-1733922000@dev-site.sph.umn.edu
SUMMARY:SPH Graduate Virtual Information Session
DESCRIPTION:Learn more about the University of Minnesota School of Public Health at our upcoming virtual information session! Discover what makes our School unique as we provide an overview of our master’s programs in public health and walk you through the application process. You’ll also hear firsthand from current students about their experiences and insights.
URL:https://dev-site.sph.umn.edu/event/sph-virtual-information-session-8/
LOCATION:Virtual
CATEGORIES:Prospective Students
ATTACH;FMTTYPE=image/jpeg:https://dev-site.sph.umn.edu/wp-content/uploads/2024/08/university-gate.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241213T120000
DTEND;TZID=America/Chicago:20241213T133000
DTSTAMP:20260523T170012
CREATED:20241203T203525Z
LAST-MODIFIED:20241203T223747Z
UID:690538-1734091200-1734096600@dev-site.sph.umn.edu
SUMMARY:BIPOC/AI in SPH PhD Student and Faculty Lunch
DESCRIPTION:[vc_row][vc_column][vc_column_text] \nWe are excited to invite you to the December BIPOC/AI in SPH lunch for the Fall 2024. We invite you to Mayo D199 on Friday Dec. 13th\, from 12:00-1:30 pm to enjoy lunch and celebrate the end of the semester with BIPOC students and faculty across SPH. Lunch will be provided. \n[/vc_column_text][vc_column_text]While this event is open to all students and faculty\, regardless of race\, ethnicity\, or national origin\, it will center the experiences of Black\, Indigenous\, people of color\, and American Indian students and faculty. \n\n[/vc_column_text][/vc_column][/vc_row]
URL:https://dev-site.sph.umn.edu/event/bipoc-ai-in-sph-phd-student-and-faculty-lunch/
LOCATION:Mayo\, Room D199\, 420 Delaware St SE\, Minneapolis\, MN\, United States
CATEGORIES:Current Students
ATTACH;FMTTYPE=image/jpeg:https://dev-site.sph.umn.edu/wp-content/uploads/2024/02/mayo-building.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241216T130000
DTEND;TZID=America/Chicago:20241216T140000
DTSTAMP:20260523T170012
CREATED:20240829T162630Z
LAST-MODIFIED:20240829T162630Z
UID:689100-1734354000-1734357600@dev-site.sph.umn.edu
SUMMARY:SPH Graduate Virtual Application Drop-In Session
DESCRIPTION:Have a quick question that you want to talk through? Drop into this virtual session to connect with one of our admission staff members. There will not be any formal presentation. \nBecause of the nature of student questions\, a virtual waiting room will be used. If SPH staff are meeting with another student\, they will let you into the room in the order in which you entered the waiting room. We appreciate your patience. \nThis session is not recorded or shared.
URL:https://dev-site.sph.umn.edu/event/sph-virtual-application-drop-in-session-15/
LOCATION:Virtual
CATEGORIES:Prospective Students
ATTACH;FMTTYPE=image/jpeg:https://dev-site.sph.umn.edu/wp-content/uploads/2024/07/goldy-statue.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20241216T160000
DTEND;TZID=America/Chicago:20241216T170000
DTSTAMP:20260523T170012
CREATED:20241211T213416Z
LAST-MODIFIED:20241211T213416Z
UID:690657-1734364800-1734368400@dev-site.sph.umn.edu
SUMMARY:MPH Student Panel
DESCRIPTION:Hear from current MPH students who will share their experiences and answer your questions about life in the program. \nThis session will also provide an overview of the MPH degree\, admissions requirements\, and how the program prepares you for a career in public health.
URL:https://dev-site.sph.umn.edu/event/mph-student-panel/
LOCATION:Virtual
CATEGORIES:Prospective Students
ATTACH;FMTTYPE=image/jpeg:https://dev-site.sph.umn.edu/wp-content/uploads/2024/12/student-panel.jpg
END:VEVENT
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