Chris Rackauckas
Employers on the program
- 2024–2026JuliaHub17 talks
- 2023JuliaHub, Pumas AI, MIT1 talk
- 2019–2023Massachusetts Institute of Technology5 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- JuliaCon
- PyData
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Aug 10, 2026 | JuliaCon Global 2026 | JuliaCon | keynote | Breaking The Non-Recurring Cost Curve Using Model Based Methodologies as JuliaHub Sponsor Keynote: Boeing and JuliaHub. | |
| Aug 10, 2026 | JuliaCon Global 2026 | JuliaCon | speaker | Discovering Governing Equations for Neural Populations: PEM-UDE with Multiple Shooting for Chaotic Brain Dynamics as JuliaHub Chaotic neural dynamics resist equation discovery because parameter sensitivity creates intractable optimization landscapes. | |
| Aug 10, 2026 | JuliaCon Global 2026 | JuliaCon | speaker | The Agentic AI Maintenance Bots of the SciML Organization as JuliaHub The Julia SciML ecosystem is a collection of hundreds of packages. | |
| Aug 10, 2026 | JuliaCon Global 2026 | JuliaCon | speaker | What is the best ODE solver for your problem? A detailed walk through DifferentialEquations.jl as JuliaHub There are hundreds of ODE solvers in DifferentialEquations.jl. | |
| Jul 22, 2025 | JuliaCon 2025 | JuliaCon | workshop | A Deep Dive Into DifferentialEquations.jl as JuliaHub DifferentialEquations.jl is the main package in Julia for solving differential equations. | Video |
| Jul 22, 2025 | JuliaCon 2025 | JuliaCon | speaker | Efficient boundary value problems solving in SciML as JuliaHub Boundary value problems arise in various scientific domains and play an important role in scientific computing, how to efficiently solve them is vital in…Show lessBoundary value problems arise in various scientific domains and play an important role in scientific computing, how to efficiently solve them is vital in numerical simulations. | |
| Jul 22, 2025 | JuliaCon 2025 | JuliaCon | speaker | Fast and Robust Least Squares / Curve Fitting in Julia as JuliaHub Solving nonlinear least squares problems is very common across many aspects of science, from the implementation of curve fitting in data analysis to complex…Show lessSolving nonlinear least squares problems is very common across many aspects of science, from the implementation of curve fitting in data analysis to complex nonlinear optimizations. | |
| Jul 22, 2025 | JuliaCon 2025 | JuliaCon | speaker | Fast Stiff ODE/DAE Solvers via Symbolic-Numeric Compiler Tricks as JuliaHub The Julia SciML solvers in DifferentialEquations.jl are already pretty optimized for stiff ODEs and DAEs, so where does the next order of magnitude in…Show lessThe Julia SciML solvers in DifferentialEquations.jl are already pretty optimized for stiff ODEs and DAEs, so where does the next order of magnitude in performance come from? | |
| Jul 22, 2025 | JuliaCon 2025 | JuliaCon | lightning | Optimal Uncertainty Quantification of SciML Models as JuliaHub We present OptimalUncertaintyQuantification.jl: A SciML package for end-to-end distributionally robust uncertainty quantification of static and dynamic systems…Show lessWe present OptimalUncertaintyQuantification.jl: A SciML package for end-to-end distributionally robust uncertainty quantification of static and dynamic systems models. | |
| Jul 22, 2025 | JuliaCon 2025 | JuliaCon | workshop | SciML in Fluid Dynamics (CFD): Surrogates of Weather Models as JuliaHub Building surrogates of fluid dynamics models is a common way to accelerate the analyses. | Video |
| Jul 22, 2025 | JuliaCon 2025 | JuliaCon | bof | SciML Roadmapping as JuliaHub Comments, questions, or concerns about the future direction of the SciML tools? | |
| Jul 9, 2024 | JuliaCon 2024 | JuliaCon | speaker | Docs, CI Tests, Error Messages, and Interfaces in Julia's SciML as JuliaHub Julia's SciML is a large ecosystem of numerical solvers, modeling tools, utility libraries, and much more. | |
| Jul 9, 2024 | JuliaCon 2024 | JuliaCon | workshop | Hierarchical Component-Based Modeling with ModelingToolkit.jl as JuliaHub Acausal modeling tools such as ModelingToolkit, Modelica, and Simscape are widely used for industrial modeling, simulated real-world phenomena such as…Show lessAcausal modeling tools such as ModelingToolkit, Modelica, and Simscape are widely used for industrial modeling, simulated real-world phenomena such as hydraulic, HVAC, and multibody systems. | |
| Jul 9, 2024 | JuliaCon 2024 | JuliaCon | sponsor talk | JuliaSim: Bringing Julia to Industrial Modeling and Simulation as JuliaHub JuliaHub has been developing JuliaSim - a modern modeling and simulation tool that leverages Julia and ModelingToolkit.jl’s unique capabilities. | |
| Jul 9, 2024 | JuliaCon 2024 | JuliaCon | bof | Model-based Design for System Product Development as JuliaHub JuliaHub has been developing JuliaSim - a modern modeling and simulation tool that leverages Julia and ModelingToolkit.jl’s unique capabilities. | |
| Jul 9, 2024 | JuliaCon 2024 | JuliaCon | bof | Needs and Next Steps for Julia's SciML as JuliaHub What do you need? | |
| Jul 9, 2024 | JuliaCon 2024 | JuliaCon | speaker | State of Julia's SciML Ecosystem as JuliaHub Julia's SciML represents nearly a hundred of some of the most widely used Julia packages. | |
| Nov 30, 2023 | PyData Eindhoven 2023 | PyData | talk | Building Fast Packages Faster: Julia as a Backend to Python and R as Massachusetts Institute of Technology Whether through Cython, Rcpp, or other interfaces, many of the common packages in the Python and R ecosystems contain large amounts of C code for the package…Show lessWhether through Cython, Rcpp, or other interfaces, many of the common packages in the Python and R ecosystems contain large amounts of C code for the package internals. The reason for this is performance: C is just a faster language than Python and R. | Video |
| Jul 25, 2023 | JuliaCon 2023 | JuliaCon | keynote | Keynote: Christopher Rackauckas as JuliaHub, Pumas AI, MIT | |
| Jul 22, 2019 | JuliaCon 2019 | JuliaCon | bof | Dynamical Modeling in Julia as Massachusetts Institute of Technology A lot of people are building tooling for differential equation based models in Julia for various domains. | |
| Jul 22, 2019 | JuliaCon 2019 | JuliaCon | workshop | Pharmaceutical Modeling and Simulation with Pumas as Massachusetts Institute of Technology Pharmacometics is commonly used to optimize drug doses and pre-screen drugs before clinical trials. | |
| Jul 22, 2019 | JuliaCon 2019 | JuliaCon | speaker | Scientific AI: Domain Models with Integrated Machine Learning as Massachusetts Institute of Technology Modeling practice seems to be partitioned into scientific models defined by mechanistic differential equations and machine learning models defined by…Show lessModeling practice seems to be partitioned into scientific models defined by mechanistic differential equations and machine learning models defined by parameterizations of neural networks. | |
| Jul 22, 2019 | JuliaCon 2019 | JuliaCon | workshop | Solving Differential Equations in Julia as Massachusetts Institute of Technology This workshop is for both experienced DifferentialEquations.jl users and newcomers. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Kristoffer Carlsson | 5 | — | 2026 |
| Ludovic Räss | 5 | — | 2026 |
| Mosè Giordano | 5 | — | 2026 |
| Sebastian Pfitzner | 5 | — | 2026 |
| Viral B. Shah | 4 | 3 | 2026 |
| Avinash Subramanian | 4 | 1 | 2026 |
| Michael Tiller | 4 | 1 | 2026 |
| Aaron Trowbridge | 4 | — | 2026 |
| Alexander Leong | 4 | — | 2026 |
| Avik Sengupta | 4 | — | 2026 |
| Dmitry Bagaev | 4 | — | 2026 |
| Fredrik Bagge Carlson | 4 | — | 2026 |
| Jacob Zelko | 4 | — | 2026 |
| Jeff Bezanson | 4 | — | 2026 |
| Julia Gender Inclusive | 4 | — | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.