BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//UM//UM*Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Detroit
TZURL:http://tzurl.org/zoneinfo/America/Detroit
X-LIC-LOCATION:America/Detroit
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20070311T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20071104T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250114T092039
DTSTART;TZID=America/Detroit:20250122T160000
DTEND;TZID=America/Detroit:20250122T170000
SUMMARY:Lecture / Discussion:Gilbert S. Omenn Department of Computational Medicine and Bioinformatics - Weekly Seminar
DESCRIPTION:Abstract:\nWe are interested in deciphering RNA-protein networks in cells\, which are the result of interactions between RNA sequence/structural features and dynamic populations of RNA-binding proteins. These networks drive essential biological functions and are implicated in various diseases. To illuminate features that mediate the function and dysfunction of RNA molecules\, we employ a suite of technologies known as mutational profiling (MaP) experiments. In MaP\, reactive chemical probes mark RNA molecules where a measured event takes place\, for example protein binding\, RNA folding\, or small molecule interaction. The locations of these marks on RNA can be encoded as “mutations” during reverse transcription and read out by massively parallel sequencing. The original native cellular context of the chemically probed RNA can be reconstructed from MaP sequencing computationally.\n\nUsing MaP technologies\, we have defined features of RNA responsible for a variety of biology\, including sequences and structures mediating RNA localization\, assembly into complexes\, and disease activity. We are further developing the technology for identification of RNA-binding protein interactions and small-molecule-interacting sites on RNAs transcriptome-wide.\n\nBy mapping the uncharted landscapes of RNA-protein networks\, our research provides a foundation for understanding new RNA biology and for advancing RNA-targeted therapeutic interventions.\n\nBio:\nChase grew up in the Midwest\, moving between suburbs of Milwaukee and Chicago. Chase’s parents work for a family business that sells materials storage and handling solutions for factories and warehouses around the Midwest (think forklifts and automated shelving). While Chase did have some odd jobs with the family business when he was younger\, given the opportunity to pursue his own interests and inspired by a number of science teachers\, Chase decided to pursue a degree in Biochemistry at the University of Rochester in New York. \n\nThere\, Chase discovered a now long-time interest in RNA biology: Chase’s first research experience explored mechanisms of codon bias during mRNA translation in a yeast model with Beth Grayhack. Chase then pursued a Ph.D. in Biological Chemistry at the University of Michigan\, where he studied the mechanism of mRNA regulation by RNA-binding proteins in a Drosophila cell model with Aaron Goldstrohm. Chase then performed postdoctoral training in the Department of Chemistry at the University of North Carolina with Kevin Weeks\, where Chase integrated chemical probing strategies and next-gen sequencing to study long noncoding RNAs in human biology and disease. After a short stint as a postdoc and staff scientist at Washington University in St. Louis pursuing proximity labeling proteomics technologies\, Chase ultimately returned to the University of Michigan Department of Biological Chemistry as a Faculty Scholar of the Center for RNA Biomedicine and an Affiliate Faculty Member of the Center for Computational Medicine and Bioinformatics.  His lab is interested in how RNA-protein interaction networks govern biology and disease.\n\nThroughout his career\, Chase has had the support of NIH training grants during his Ph.D. and postdoctoral training\, an American Cancer Society Postdoctoral Fellowship\, an NCI K22 Career Transition Award\, and is currently supported by an NIGMS R01. Among honors Chase has received\, he is most proud of a recent student-nominated Outstanding Faculty Mentor Award given to him by the University of Michigan Cellular and Molecular Biology graduate program.
UID:131121-21867765@events.umich.edu
URL:https://events.umich.edu/event/131121
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Discussion,Information and Technology,In Person,Human Genetics,Graduate Students,Free,Food,Engineering,Electrical Engineering and Computer Science,Interdisciplinary,Chemistry,Biosciences,Biomedical Engineering,Biology,Biointerfaces,Alumni,Applications,Basic Science,Learning Center,Virtual,Undergraduate,Talk,Structural Biology,seminar,Science,Research,Public Health,Precision Health,Medicine,Life Science,Lecture,Learning Health Systems
LOCATION:Palmer Commons - Forum Hall
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250115T122544
DTSTART;TZID=America/Detroit:20250122T160000
DTEND;TZID=America/Detroit:20250122T170000
SUMMARY:Workshop / Seminar:Probability and Analysis Seminar: Toward a structure theory of disordered matrix product states
DESCRIPTION:In 1992\, Fannes\, Nachtergaele\, and Werner classified translation invariant states on quantum spin chains and discovered that they admit a matrix product structure. Such matrix product states are simultaneously good approximations for general states\, and natural candidates for ground states of specific local Hamiltonians. Following the observation by Vidal (2004) that matrix product states are ‘‘efficient\,’’ the theory took root and is now an indispensable tool in many-body physics and quantum simulation. Recent work in this direction by Movassagh–Schenker (2022) and Nelson–R. (2024) adapted this structure to states generated by disordered matrix products. All such disordered matrix product states are translation co-variant. However both works above only had a ‘‘one-way’’ construction\, not a classification. In this talk\, I’ll report on some work in progress with Jeffrey Schenker where we successfully classify the translation co-variant states when the underlying probability space is a compact Hausdorff space.
UID:131006-21867591@events.umich.edu
URL:https://events.umich.edu/event/131006
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 3096
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250120T212804
DTSTART;TZID=America/Detroit:20250122T160000
DTEND;TZID=America/Detroit:20250122T170000
SUMMARY:Lecture / Discussion:Student Model Theory Seminar
DESCRIPTION:First meeting of the student model theory reading seminar. Please contact Dhruv (dhruvkul@umich.edu) if you have any questions.
UID:131491-21868624@events.umich.edu
URL:https://events.umich.edu/event/131491
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Talk,seminar,Mathematics,Graduate Students,Undergraduate Students
LOCATION:East Hall - 1060
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250104T120928
DTSTART;TZID=America/Detroit:20250122T160000
DTEND;TZID=America/Detroit:20250122T170000
SUMMARY:Workshop / Seminar:Vector-valued robust stochastic control with applications to finance
DESCRIPTION:We study a dynamic stochastic control problem subject to Knightian uncertainty with multi-objective (vector-valued) criteria. Assuming the preferences across expected multi-loss vectors are represented by a given\, yet general\, preorder\, we address the model uncertainty by adopting a robust or minimax perspective\, minimizing expected loss across the worst-case model. In contrast to the scalar case\, major challenges for multi-loss control problems include properly defining and interpreting the notions of supremum and infimum\, and addressing the non-uniqueness of these suprema and infima. To deal with these\, we employ the notion of an ideal point vector-valued supremum for the robust part of the problem\, while we view the control part as a multi-objective (or vector) optimization problem. Using a set-valued framework\, we derive both a weak and strong version of the dynamic programming principle (DPP) or Bellman equations by taking the value function as the collection of all worst expected losses across all feasible actions. The weak version of Bellman's principle is proved under minimal assumptions. To establish a stronger version of DPP\, we introduce the rectangularity property with respect to a general preorder. We also further study a particular\, but important\, case of component-wise partial order of vectors\, for which we additionally derive DPP under a different set-valued notion for the value function\, the so-called upper image of the multi-objective problem. Finally\, we provide illustrative examples motivated by financial problems.
UID:129023-21862050@events.umich.edu
URL:https://events.umich.edu/event/129023
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 1360
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250516T153130
DTSTART;TZID=America/Detroit:20250122T163000
DTEND;TZID=America/Detroit:20250122T180000
SUMMARY:Workshop / Seminar:Foundations of Community Engagement
DESCRIPTION:Foundations of Community Engagement is an interactive workshop that introduces principles and practices of equitable\, ethical community engagement. Participants will develop a deeper understanding of what the term “community engagement” means\, as well as the many forms it might take - from research and course-based projects to philanthropy\, activism\, policy\, and direct service. Across all these forms of engagement\, participants will learn concepts and actions that promote equitable partnerships\, center community-defined priorities\, and disrupt entrenched power dynamics between universities and community members. Participants will also discuss real-world community engagement scenarios that ask them to apply what they’ve learned in the workshop to various situations.\n\n**This workshop is an updated version of Ginsberg’s long-standing Entering\, Engaging\, and Exiting (E3) session. If you’ve attended that session in the past\, you’ll gain additional knowledge from this session.**\n\nRegister for a Session Here: https://sessions.studentlife.umich.edu/track/event/16509
UID:123162-21862560@events.umich.edu
URL:https://events.umich.edu/event/123162
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Undergraduate Students,Workshop,Student Org,Leadership,Graduate Students,Ginsberg Center,Free,Activism
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
END:VCALENDAR