Autumn Julia Meetup

The weather is turning cooler, the days are getting shorter, and Viral Shah and Chris Rackauckas are going to be in town, so that seems like good reason for our next meetup. We will be graciously hosted again by the UCL Artificial Intelligence Center at 90 High Holborn.

Schedule:
5:30 pm - Pizzas and networking
6:15 pm - Talks + Q&A
7:45 pm - Retire to watering hole nearby

Viral Shah is the co-creator of Julia and the co-founder of JuliaHub, Inc. He will provide his perspectives on the future of Julia as well as JuliaHub.

Chris Rackauckas is the creator of the SciML ecosystem, and the VP of Modelling and Simulation at JuliaHub. He will speak about SciML's NonlinearSolve.jl: Pushing the Performance of Implicit Modeling with Neural Networks.

NonlinearSolve.jl has recently received a lot of attention in the development community in terms of performance, and he will show how its solvers are demonstrably more performant and robust than the classic C/Fortran methods of SUNDIALS (Kinsol) and MINPACK (used by SciPy).

Alex Jones has a background in electronic engineering, radar and electromagnetics and works to develop PDE tooling in Julia. He will present: *Automating the Solving of Partial Differential Equations with MethodOfLines.jl*

Partial Differential Equations are everywhere, but solving PDEs is something that requires "more than just the textbook", with many methods differing in stability and performance and only applying to specific equations. In this talk Alex will introduce MethodOfLines.jl, a symbolic PDE solver that makes it easy for any scientist or engineer to solve any model simply by writing down the symbolic description from the textbook.

Photo Credit: Stable Diffusion's idea of Scientific Machine Learning!