JuliaCon 2026

Differentiable Modeling BoF: Discussion and Future Directions

This BoF is a roundtable discussion on differentiable computational models and their applications, open to anyone using or developing them in Julia or other languages. We'll discuss:

Experiences, challenges, and solutions from working with differentiable models
Whether existing differentiation packages provide straightforward explanations of their uses and how to implement them in real work
Limitations in current differentiation packages that future development could address
The potential for an org page to consolidate and showcase community efforts and best practices in this space


This BoF is a roundtable discussion on differentiable computational models and their applications, open to anyone using or developing them in Julia or other languages. We'll discuss:

Experiences, challenges, and solutions from working with differentiable models
Whether existing differentiation packages provide straightforward explanations of their uses and how to implement them in real work
Limitations in current differentiation packages that future development could address
The potential for an org page to consolidate and showcase community efforts and best practices in this space

Sarah Williamson

I'm a PhD candidate at the University of Texas at Austin. My research lives in the realm of computational oceanography where I broadly work on utilizing differentiable ocean models for training subgrid-scale parameterizations.

Alan Correa

I am an enthusiastic doctoral researcher working at the intersection of computational modeling, uncertainty quantification, and sustainable computing. My work focuses on developing robust and sustainable methods for high-dimensional uncertainty propagation and heterogeneous computational workflows in model-based engineering applications. I am also a passionate research software engineer who advocates for open science and actively contributes to collaborative open-source projects. My goal is to create innovative solutions that empower better decision-making in complex systems while ensuring our methodologies prioritize sustainability through responsible resource usage.