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Thursday, November 2, 2023

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Thursday, November 2nd, 2023
10:00am – 12:00pm
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EAS Trailblazers Symposium

Guggenheim 133 (Lees-Kubota Lecture Hall)
12:00pm – 1:00pm
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Disability in STEM seminar series: Dr. Christina Goudreau Collison

12:00pm – 1:00pm
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Teaching Statement Info Session - Online

Online Event
1:00pm – 2:00pm
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Educational Technology Workshop (Other Tech Tools)

Center for Student Services 360 (Workshop Space)
2:00pm – 3:30pm
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Caltech Library Workshop – Introduction to Tableau Public

Online Event
2:30pm – 3:45pm
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Algebra and Geometry Seminar

MMP for 3-dimensional Kahler generalized pairs
Jose Yanez, Department of Mathematics, UCLA,
3:00pm – 4:00pm
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EE Devices Seminar - Judith Su

Moore B270
Ultra-sensitive, selective, and label-free optical sensing for fundamental science, environmental monitoring, and translational medicine
Judith Su, Associate Professor, Biomedical Engineering and Optical Sciences, University of Arizona,
3:45pm – 5:00pm
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Algebra and Geometry Seminar

Hodge theory, modular forms, counting curves on surfaces, and maybe some other stuff
Joseph Helfer, Department of Mathematics, USC,
4:00pm – 5:00pm
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LA Probability Forum

KPZ estimates for ASEP and the Stochastic Six Vertex model
Philippe Sosoe, Department of Mathematics, Cornell University,
4:00pm – 5:00pm
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Number Theory Seminar

Linde Hall 387
On mod p Langlands parameters for tame groups
Zhongyipan Lin, Department of Mathematics, Northwestern University,
4:00pm – 5:00pm
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Physics Colloquium

Online and In-Person Event
Colliders for the Future of High Energy Physics
Julia Gonski, SLAC,
4:00pm – 5:00pm
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Social Sciences History Seminar

Baxter B125
Teacher Salaries and Racial Inequality in Educational Attainment in the Mid-Century South
Elizabeth Cascio, Professor of History, Dartmouth College,
5:00pm – 6:00pm
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LA Probability Forum

Convergence of effective resistances on generalized Sierpinski carpets
Shiping Cao, Department of Mathematics, University of Washington,
6:00pm – 7:00pm
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LA Probability Forum

Geodesics in Last-Passage Percolation under Large Deviations
Lingfu Zhang, Department of Statistics, UC Berkeley,