Student Feature - Jasper Weinburd

Student Feature - Jasper Weinburd

Jasper is in the last year of his PhD at the U of Minnesota where he works in pattern-formation with Arnd Scheel. This fall he heads to Harvey Mudd College where he is incredibly grateful to be supported by an NSF Postdoctoral Fellowship. He writes about his research interests in self-organized patterns and how the topic of his postdoc research grew from an AMS program facilitating mathematical community.

Student Feature - Samuel Fleischer

Student Feature - Samuel Fleischer

Samuel Fleischer is a fourth-year PhD Candidate in the Graduate Group in Applied Mathematics at UC Davis. He discusses his research, activism, and unconventional path to becoming an applied math graduate student.

Student Feature - Stephanie Dodson

Student Feature - Stephanie Dodson

Stephanie Dodson is a winner of AWM Poster Competition at the 2018 SIAM Annual Meeting. Her poster was titled: "Spectral Properties of Spiral Waves in the Karma Model" and is joint work between Stephanie and her advisor, Björn Sandstede. She discusses her research in dynamical systems motivated by applications in biology.


Student Feature -  Alexandria Volkening

Student Feature - Alexandria Volkening

Alexandria Volkening discusses her research is the area of  self-organization and emergent behavior.


Student Feature - Adrienna Bingham

Student Feature - Adrienna Bingham

Adrienna Bingham is a a fourth year PhD student at the College of William and Mary in the Applied Science department working under the direction of Dr. Leah Shaw.

Student Feature - Joshua Levy

Student Feature - Joshua Levy

Josh Levy is a third year PhD student in the department of Engineering Science and Applied Mathematics at Northwestern University and is advised by William Kath and Neda Bagheri. Josh completed a B.S. in Applied Mathematics and Chemistry at Tufts University and an M.Sc. in Mathematical Modelling and Scientific Computing at University of Oxford.

Student Feature - Shuyang Ling

Student Feature - Shuyang Ling

Shuyang Ling  is a recipient of the 2017 SIAM Student Paper Prize for the paper titled “Self-Calibration and Biconvex Compressive Sensing.” He is currently Courant Instructor at the Courant Institute of Mathematical Sciences at New York University. Shuyang is also affiliated with the Center for Data Science. He received his Ph.D. in Applied Mathematics in 2017 from the University of California Davis, supervised by Prof. Thomas Strohmer, and he obtained his B.S. in Mathematics in 2012 from Fudan University, China.


Student Feature - Sulimon Sattari

Student Feature - Sulimon Sattari

Sulimon Sattari is a postdoctoral fellow working for Tamiki Komatsuzaki at the Research Institute for Electronic Science at Hokkaido University in Sapporo, Japan. He received his PhD in Physics under Kevin Mitchell at UC Merced in May 2017. He received his BS in Physics and BA in Mathematics from UC Santa Cruz in 2011. Sulimon’s postdoctoral work applies techniques from nonlinear dynamics, information theory, and thermodynamics to study the growth structure of biological cell colonies using experimental images. In his PhD, Sulimon applied a technique called symbolic dynamics to compute mixing rates in fluid systems and ionization rates in atomic systems using topological techniques involving invariant manifolds. As an undergraduate, Sulimon worked under Hartmut Sadrozinski at the Santa Cruz Institute for Particle Physics where he performed experimental research for the development of particle detector prototypes for the Large Hadron Collider at CERN.

Student Feature – John C. Lang

Student Feature – John C. Lang

John Lang is currently working with Dr. P.J. Lamberson as a Postdoctoral Fellow in the Department of Communication Studies at the University of California Los Angeles. He recently completed a Ph.D. in Applied Mathematics at the University of Waterloo under the supervision of Dr. Hans de Sterck (now at Monash University) and in collaboration with Dr. Daniel Abrams (Northwestern University). His Ph.D. thesis focused on modeling social processes at both the individual and population levels. He previously completed an M.Sc. in Econometrics and Mathematical Economics at the London School of Economics and Political Science, an M.Sc. in Applied Mathematics at the University of Alberta, and an M.Sc. (Honors) in Mathematics at the University of British Columbia. 


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