Science on Sundays (SoS) w/ We Be Imagining
From Tapan Parikh
The mysterious phenomenon called ‘tears of wine’ is produced because of shock waves within the film of wine that climbs the side of a glass. Andrea Bertozzi and her colleagues at the University of California, Los Angeles, Yoni Dukler and Hangjie Ji will conduct a live demonstration, discuss their research on the fluid dynamics of wine, recently featured in Nature followed by Q&A from the audience.
They recommend watching this 10 minute Physics Girl video before the show
Stanley Munoz Raised in Harlem, New York City, Stanley Munoz focuses on the role of movement in surveillant and artificial intelligence technologies. Many of the problems among marginalized people of color stem from the limited perspectives and disconnected experiences of the stakeholders in the design tables. His work addresses past and present systemic inequities propagated by the tech industry while simultaneously manifesting a queer, afro-centric vision for future development.
Andrea Bertozzi is an applied mathematician with expertise in nonlinear partial differential equations and fluid dynamics. She also works in the areas of geometric methods for image processing, crime modeling and analysis, and swarming/cooperative dynamics. Bertozzi completed all her degrees in Mathematics at Princeton. To date she has graduated 37 PhD students and has mentored over 40 postdoctoral scholars.
Hangie Ji is an Assistant Adjunct Professor for the Program in Computing at UCLA Department of Mathematics working as a postdoc of Professor Andrea Bertozzi. I completed my Ph.D. in Mathematics at Duke University under the guidance of Professor Thomas P. Witelski.
Yoni Dukler is a third year PhD candidate in the Department of Mathematics at UCLA working under the joint supervision of Guido Montufar and Andrea Bertozzi. His research is in the field of machine learning and applied mathematics and specifically in their intersection. He’s very fortunate to be supported by the NSF Graduate Research Fellowship (NSF GRFP). Before his PhD, he was studying (pure) mathematics at UCLA with interest in analysis. He received his BS and MA concurrently from UCLA under the Departmental Scholar Program.