Webinar

Dyad AI Modeling Challenge: Modeling a Satellite Swarm

Webinar

Dyad AI Modeling Challenge: Modeling a Satellite Swarm

Event Date & Time

Mar 12, 2026, 1:00 PM

EDT

Speakers

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Event Date & Time

Mar 12, 2026, 1:00 PM

EDT

Speakers

Share

Join the Dyad Live Modeling Challenge, a weekly working session where engineers and scientists bring real-world modeling problems and solve them live. Each session explores how Dyad’s agentic AI can help reason through complexity, build simulations faster, and accelerate better decisions.

This week, we’re taking on the challenge of modeling a satellite swarm.

What we’ll model

We’ll explore satellites and satellite constellations across multiple scales, including:

  • Inner electrical systems

  • Thermal behavior

  • Orbit propagation

  • Communications

  • Basic mission analysis within simulation

From subsystem behavior to constellation-level dynamics, you’ll see how AI-driven modeling can connect the pieces in real time. Don’t miss the technical breakdown—Watch live!

Speakers

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. 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.

Speakers

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. 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.

Speakers

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. 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.

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Dyad AI Modeling Challenge: Modeling a Satellite Swarm