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DTSTART;TZID=America/Los_Angeles:20190911T161500
DTEND;TZID=America/Los_Angeles:20190911T171500
DTSTAMP:20260405T150746
CREATED:20190826T222708Z
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UID:1383-1568218500-1568222100@colleges.claremont.edu
SUMMARY:Poster Session Fall 2019
DESCRIPTION:CLAREMONT CENTER for MATHEMATICAL SCIENCES\nFall 2019 Poster Session \nClick here for poster abstracts.
URL:https://colleges.claremont.edu/ccms/event/poster-session-fall-2019/
LOCATION:Argue Auditorium\, Pomona College\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium,Special Event
ORGANIZER;CN="Blerta Shtylla":MAILTO:shtyllab@pomona.edu
GEO:34.0999157;-117.7142668
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Argue Auditorium Pomona College 610 N. College Ave. Claremont CA 91711 United States;X-APPLE-RADIUS=500;X-TITLE=610 N. College Ave.:geo:-117.7142668,34.0999157
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DTSTART;TZID=America/Los_Angeles:20190918T161500
DTEND;TZID=America/Los_Angeles:20190918T171500
DTSTAMP:20260405T150746
CREATED:20190826T234337Z
LAST-MODIFIED:20190913T173113Z
UID:1386-1568823300-1568826900@colleges.claremont.edu
SUMMARY:Data-driven multiscale modeling of cell fate dynamics
DESCRIPTION:Cells make fate decisions in response to dynamic environmental and pathological stimuli as well as cell-to-cell communications. Recent technological breakthroughs have enabled to gather data in previously unthinkable quantities at single cell level\, starting to suggest that cell fate decision is much more complex\, dynamic\, and stochastic than previously recognized. Multiscale interactions\, sometimes through cell-cell communications\, play a critical role in cell decision making. Dissecting cellular dynamics emerging from molecular and genomic scale in single-cell demands novel computational tools and multiscale models. In this talk\, I will present our recent works on analyzing single cell molecular data\, and their connections with cellular and spatial tissue dynamics. Our mathematical approaches bring together optimization\, statistical physics\, ODEs/PDEs\, and stochastic simulations along with machine learning techniques. By utilizing our newly developed computational tools along with their close integrations with new datasets collected from our experimental collaborators\, we are able to investigate several complex systems during development and regeneration to uncover new mechanisms in cell fate determination.
URL:https://colleges.claremont.edu/ccms/event/tba/
LOCATION:Argue Auditorium\, Pomona College\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Blerta Shtylla":MAILTO:shtyllab@pomona.edu
GEO:34.0999157;-117.7142668
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DTSTART;TZID=America/Los_Angeles:20190925T161500
DTEND;TZID=America/Los_Angeles:20190925T171500
DTSTAMP:20260405T150746
CREATED:20190826T234507Z
LAST-MODIFIED:20190924T204637Z
UID:1388-1569428100-1569431700@colleges.claremont.edu
SUMMARY:Why biologists cant stop saying single-cell and how this is a distinctly mathematical refrain
DESCRIPTION:Single-cell genomics is a catch phrase for numerous new technologies and methods that allow for probing cells at genome scale. I will explain what this means and describe some examples that illustrate the excitement in this new domain. While single-cell genomics technologies draw on methods from a variety of disciplines such asf biology\, chemistry and engineering\, the interpretation of the data they generate requires concepts and tools from statistics\, computer science and mathematics. I will explain some of the connections with a view towards highlighting interesting solved and unsolved problems in the field.
URL:https://colleges.claremont.edu/ccms/event/tba-5/
LOCATION:Argue Auditorium\, Pomona College\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Blerta Shtylla":MAILTO:shtyllab@pomona.edu
GEO:34.0999157;-117.7142668
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