Needs and Next Steps for Julia's SciML
What do you need? Come to this BoF to discuss how you are using SciML today, what issues you are running into, and what needs to be done for improving the future of Julia's SciML stack!
What are your biggest issues? Scaling in Optimization.jl? More tutorials in ModelingToolkitStandardLibrary.jl? It's always hard for the developers to know the general prioritization sentiment of the community, and thus this BoF is made to get a sample from users to better understand the needs of the community.
Dr. Chris Rackauckas is the VP of Modeling and Simulation at JuliaHub, the Director of Scientific Research at Pumas-AI, Co-PI of the Julia Lab at MIT, and the lead developer of the SciML Open Source Software Organization. For his work in mechanistic machine learning, his work is credited for the 15,000x acceleration of NASA Launch Services simulations and recently demonstrated a 60x-570x acceleration over Modelica tools in HVAC simulation, earning Chris the US Air Force Artificial Intelligence Accelerator Scientific Excellence Award. See more at https://chrisrackauckas.com/. He is the lead developer of the Pumas project and has received a top presentation award at every ACoP in the last 3 years for improving methods for uncertainty quantification, automated GPU acceleration of nonlinear mixed effects modeling (NLME), and machine learning assisted construction of NLME models with DeepNLME. For these achievements, Chris received the Emerging Scientist award from ISoP.