SIAM Student Chapter Seminar

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Fall 2021

date and time location speaker title
Sept 20, 4 PM Ingraham 214 Julia Lindberg (Electrical and Computer Engineering) Polynomial system solving in applications
Sept 27, 4 PM, Zoom (refreshments and conference call in 307) Wil Cocke (Developer for ARCYBER) Job talk-Software Development/Data Science
Oct 4, 2:45 PM B119 Van Vleck Anjali Nair (Math) Reconstruction of Reflection Coefficients Using the Phonon Transport Equation
Oct 18, 4 PM 6104 Social Sciences Jason Tochinsky (Math)
Oct 25, 4 PM, Zoom (refreshments and conference call in 307) Patrick Bardsley (Machine Learning Engineer at Cirrus Logic)
Nov 8, 4 PM, Zoom (refreshments and conference call in 307) Liban Mohammed(Machine Learning Engineer at MITRE)
Nov 15, 4 PM, Zoom (refreshments and conference call in 307) Kurt Ehlert (Trading Strategy Developer at Auros)
Dec 6, 4 PM Ingraham 214 Hongxu Chen(Math)


Sept 20, Julia Lindberg

Polynomial systems arise naturally in many applications in engineering and the sciences. This talk will outline classes of homotopy continuation algorithms used to solve them. I will then describe ways in which structures such as irreducibility, symmetry and sparsity can be used to improve computational speed. The efficacy of these algorithms will be demonstrated on systems in power systems engineering, statistics and optimization

Sept 27, Wil Cocke

I mostly work as a software developer with an emphasis on data science projects dealing with various Command specific projects. The data science life-cycle is fairly consistent across industries: collect, clean, explore, model, interpret, and repeat with a goal of providing insight to the organization. During my talk, I will share some lessons learned for mathematicians interested in transitioning to software development/ data science.

Oct 4, Anjali Nair

The phonon transport equation is used to model heat conduction in solid materials. I will talk about how we use it to solve an inverse problem to reconstruct the thermal reflection coefficient at an interface. This takes the framework of a PDE constrained optimization problem, and I will also mention the stochastic methods used to solve it.

Past Semesters