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X-WR-CALDESC:Events for Claremont Center for the Mathematical Sciences
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DTSTART;TZID=America/Los_Angeles:20211006T163000
DTEND;TZID=America/Los_Angeles:20211006T174500
DTSTAMP:20260419T064841
CREATED:20210831T035746Z
LAST-MODIFIED:20210831T035746Z
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SUMMARY:Interrupted Time Series Models for Assessing Complex Health Care Interventions (Maricela Cruz\, PhD)
DESCRIPTION:Title: Interrupted Time Series Models for Assessing Complex Health Care Interventions \nMaricela Cruz\, PhD\nAssistant Investigator\nBiostatistics Unit\nKaiser Permanente Washington Health Research Institute \nAbstract:  Assessing the impact of complex interventions on measurable health outcomes is a growing concern in health care and health policy. According to the 2018 Annual Review of Public Health\, interrupted time series (ITS) designs may be the only feasible recourse for studying the impacts of large-scale public health policies. Statistical models used to analyze ITS data a priori restrict the interruption’s effect to a predetermined time point or censor data for which the intervention effects may not be fully realized\, and neglect changes in the temporal dependence and variability. In addition\, current methods limit the analysis to one hospital unit or entity and are not well specified for discrete outcomes (e.g.\, patient falls). In this talk\, I present novel ITS methods based on segmented regression that address the aforementioned limitations and provide a testing paradigm for the existence of a change point in the time series. The methodology is illustrated by analyzing patient centered data from a hospital that implemented and evaluated a new care delivery model in multiple units.\n  \nMaricela Cruz is an Assistant Investigator and Biostatistician at Kaiser Permanente Washington Health Research Institute and Affiliate Assistant Professor at the University of Washington Department of Biostatistics.  She received her PhD in statistics from the University of California Irvine and was a National Science Foundation Graduate Research Fellowship awardee and Eugene Cota-Robles fellow during her time there. Maricela’s research primarily focuses on developing novel statistical methods to assess and evaluate the impact of complex health interventions.
URL:https://colleges.claremont.edu/ccms/event/interrupted-time-series-models-for-assessing-complex-health-care-interventions-maricela-cruz-phd/
LOCATION:Zoom meeting\, United States
CATEGORIES:Colloquium
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211013T163000
DTEND;TZID=America/Los_Angeles:20211013T174500
DTSTAMP:20260419T064841
CREATED:20210829T221306Z
LAST-MODIFIED:20210829T223025Z
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SUMMARY:What we talk about when we talk about math (Prof. Lillian Pierce)
DESCRIPTION:Title: What we talk about when we talk about math\nSpeaker: Prof. Lillian Pierce\, Nicholas J. and Theresa M. Leonardy Professor of Mathematics at Duke University \nAbstract: In 1864\, the mathematician J. J. Sylvester wrote: \n\nMay not Music be described as the Mathematics of the sense\, Mathematics as Music of the reason?…Thus the musician feels Mathematics\, the mathematician thinks Music\,— Music the dream\, Mathematics the working life.\n\nWhat does it feel like to do mathematics? Can we share the dream rather than the working life? In fact\, the experience of doing mathematics probably feels different to each of us. Mathematics is famous for being abstract. Each of us develops a way to represent those abstractions in our own head. Can we describe what we are doing? Can we see some universal patterns in how we feel as we do mathematics? We will share a wide array of mathematical stories\, to study what mathematics does for us\, and what we do when we engage with it. \n\nLillian Pierce began her study of mathematics in earnest as an undergraduate at Princeton\, where she graduated as valedictorian. After studying in Oxford as a Rhodes Scholar\, she returned to Princeton for her PhD\, and then took up fellowships at the Institute for Advanced Study\, the University of Oxford\, and the Hausdorff Center for Mathematics in Bonn\, before moving to Duke University. Her work has received an NSF CAREER grant\, a Sloan Research Fellowship\, an AWM-Sadosky Prize\, a Joan and Joseph Birman Fellowship\, and a Presidential Early Career Award for Scientists and Engineers. Pierce is currently the Nicholas J. and Theresa M. Leonardy Professor of Mathematics at Duke University\, a Bonn Research Fellow\, and a Fellow of the American Mathematical Society.
URL:https://colleges.claremont.edu/ccms/event/what-we-talk-about-when-we-talk-about-math-prof-lillian-pierce/
LOCATION:Zoom
CATEGORIES:Colloquium
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211020T163000
DTEND;TZID=America/Los_Angeles:20211020T174500
DTSTAMP:20260419T064841
CREATED:20211013T194106Z
LAST-MODIFIED:20211015T150652Z
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SUMMARY:Panel on Paths in Mathematics After Undergrad
DESCRIPTION:Panelists: Tatiana Bradley\, Michelle Goodwin\, Isys Johnson\, John Lentfer\, and Matthew vonAllmen \nWe will have a panel discussion with graduates from the Claremont Consortium who have taken different pathways after graduation. After introductions\, there will be time for open questions from the audience. \nAfterward\, breakout rooms will be open for a casual discussion with the panelists and more participants.\nIncluding a breakout room on the “4+1” Master’s Program at CGU\, with current and past students. \nPanelist Bios: \nTatiana Bradley is a Software Engineer at Google in New York City. She received a bachelor’s degree in Math at Scripps College\, and a PhD in Computer Science (specializing in cryptography) at UC Irvine. At Google\, she works on protecting user data from insider risk. \nMichelle Goodwin is an Associate Vice President at Barclays Investment Bank in San Francisco. She received a bachelor’s degree in Pure Mathematics from Claremont McKenna College in 2016. For Barclays\, she sells institutional investors (e.g. pension funds\, insurance companies\, and hedge funds) securitized products. \nIsys Johnson is a graduate of Pomona College where she double majored in Computer Science and Mathematics. Isys is currently pursuing a PhD in Computer Science at the State University of New York at Buffalo. She is interested in structured linear algebra with applications in machine learning and works as a research assistant for Dr. Atri Rudra. \nJohn Lentfer graduated from Harvey Mudd College in 2021\, where he majored in mathematics. John is currently a first-year mathematics PhD student at UC Berkeley. He is interested in combinatorics and he is also exploring some related areas as he decides what topic to focus on. \nMatthew vonAllmen is a graduate of Pitzer College. He majored in CS-Math through Harvey Mudd College and Mathematical Economics at his home campus. Currently\, he’s pursuing a computer science PhD at Northwestern University\, where his research focuses on interdisciplinary CS-Econ questions of mechanism design and collective prediction.
URL:https://colleges.claremont.edu/ccms/event/panel-on-paths-in-mathematics-after-undergrad/
LOCATION:Zoom
CATEGORIES:Colloquium
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211027T163000
DTEND;TZID=America/Los_Angeles:20211027T174500
DTSTAMP:20260419T064841
CREATED:20211015T170746Z
LAST-MODIFIED:20211015T171056Z
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SUMMARY:Clouds and Climate (Prof. Tapio Schneider)
DESCRIPTION:Title: Clouds and Climate \nProf. Tapio Schneider\nTheodore Y. Wu Professor of Environmental Science and Engineering\nCalifornia Institute of Technology \nAbstract: Clouds are an essential regulator of climate. They cool Earth on average by 5 degrees centigrade. Yet despite their importance\, the response of clouds to climate change is very uncertain. This is especially true for the low clouds that cover vast areas of tropical oceans. Their primary effect is to cool Earth by reflecting sunlight back to space. I discuss the physics of these clouds\, how their cooling effect may have been very different in past greenhouse climates\, and how they may be affected by rising greenhouse gas concentrations. To predict our climate future more accurately\, breakthroughs in the modeling of clouds and in the accuracy of climate predictions are needed. I will discuss how they may be achieved\, thanks to advances in computing and Earth observations from space and our ability to fuse models with massive amounts of data. \nProf. Tapio Schneider is the Theodore Y. Wu Professor of Environmental Science and Engineering at Caltech and a Senior Research Scientist at JPL. His research focuses on how the climate of Earth and other planets comes about and may change\, for example\, by changes in atmospheric circulation or cloud cover.
URL:https://colleges.claremont.edu/ccms/event/clouds-and-climate-prof-tapio-schneider/
LOCATION:Zoom
CATEGORIES:Colloquium
ORGANIZER;CN="Andrew Bernoff":MAILTO:ajb@hmc.edu
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