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San Diego SciML + Julia MeetUp with Julia co-creator Dr. Viral Shah and SciML expert Dr. Chris Rackauckas

Join us in San Diego on May 30th at 6:00 PM PT for a live meet-up with Julia co-creator Dr. Viral Shah and SciML expert Dr. Chris Rackauckas

Register for Meetup Now

Julia collaboration has taken a revolutionary leap forward with JuliaHub Projects.

TUESDAY, MAY 30th | 6:00 PM PT

San Diego SciML + Julia MeetUp with Julia co-creator Dr. Viral Shah and SciML expert Dr. Chris Rackauckas

Join us in person, live in San Diego on Tuesday, May 30th at 6:00 PM for the opportunity to hear from two leading Julia contributors Dr. Viral Shah (Julia co-creator and co–founder and CEO of JuliaHub) and Dr. Chris Rackauckas (Lead Developer of the SciML Open Source Software Organization,  Co-PI of the Julia Lab at MIT, and VP of Modeling and Simulation at JuliaHub). 

This is the perfect opportunity to learn from experienced Julia experts while networking with other Julia users. 

If you’re in the San Diego area, don't miss out on this informative and engaging session.

Please note this is an in-person-only event and seating is limited. Reserve your seat now.

Snacks and wine + beer will be served. 

 Thursday, May 30th
Time: 6:00 PM PT

Boardroom, 3rd Floor
600 B Street, Suite 300
San Diego, CA 92101

Register now to reserve your spot!


Model Discovery

Combine models with tools like DiffEqFlux and NeuralPDE to discover missing physics and generate digital twins.

Combine with Pre-Built Models and Digital Twins

Grab complete models from the JuliaSim Model Store and compose the pieces to accelerate the design process.

Specialized Numerical Environments

Use the latest numerical tools, like discontinuity-aware differential equation solvers, high-performance steady state solvers, and domain-specific environments.

Blending classical physical modeling with modern Scientific Machine Learning techniques.


JuliaSim is a next generation cloud-based simulation platform, combining the latest techniques in Scientific Machine Learning with equation-based digital twin modeling and simulation. Our modern ML-based techniques accelerate simulation by up to 500x, changing the paradigm of what is possible with computational design. The premise of the software is to facilitate the design and accelerate challenging real-life models of considerable complexity.


JuliaSim allows the user to import models directly from the Model Store (more information below) into the Julia environment, making it easy to build large complex simulations. The user-friendly GUI facilitates the process and makes simulation more accessible to a wider audience.


JuliaSim produces surrogates of blackbox (and regular) dynamical systems using Continuous Time Echo State Networks (CTESNs). This novel technique allows, amongst other features, for implicit training in parameter space to stabilize the ill-conditioning present in stiff systems.

Learn more about the JuliaSim Ecosystem

Julia Computing delivers JuliaSim as an answer to accelerating simulations through digital-twin (or surrogate) modeling. By blending classical, physical modeling with advanced scientific machine learning (SciML) techniques, JuliaSim provides a next-generation platform for building, accelerating, and analyzing models.