Julia Meetup Copenhagen – May 2nd

Welcome to a new round of Julia meetups in Copenhagen!

The program for this first edition will be as follows:
18.30 - 19.00 Doors open
19.00 - 19.05 Welcome
19.05 - 19.45 Chris Rackauckas (MIT CSAIL, Pumas-AI & Julia Computing)
19.45 - 20.00 Pause
20.00 - 20.15 Jakob Nybo Nissen (University of Copenhagen)
20.15 - 20.30 Sakse Dalum (Hafnium Labs)
20.30 - 20.45 Niels Lykke Sørensen (PFA Pension)
21:00 - Local Pub (Søernes Ølbar)

Chris Rackauckas will be the keynote speaker of the night. He is world famous in the Julia community for his work on Scientific Machine Learning (SciML) which bridges the gap between differential equations and machine learning. Furthermore, he is Co-PI of the Julia Lab at MIT and director at both Julia Computing and Pumas-AI. The title of the talk will be Accurate and Efficient Physics-Informed Learning Through Differentiable Simulation.

After the keynote, we will have three shorter lightning talks. The first one will be given by Jakob Nybo Nissen who is Assistant Professor at University of Copenhagen. He will introduce us to bioinformatics and explain why Julia is great at tackling the challenges in the field.

Afterwards we will hear from Sakse Dalum who is Scientific Software Developer at Hafnium Labs who will present and give a brief overview of Monolith.jl, a server and ZMQ-powered protocol for communicating asynchronously with one or more Julia processes from external languages (including, Python, Excel, C#, and C++).

Lastly, Niels Lykke Sørensen, Quant at PFA Pension, will be talking about lessons learned doing adjoint algorithmic differentiation and Julia’s potential for finance.

The meetup takes place in the historic Auditorium A at the Niels Bohr Institute, Blegdamsvej 17, 2100 København Ø, see image. Coffee/tea and cookies will be served and beers can be bought.