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BEGIN:VEVENT
UID:pretalx-juliacon-2025-AREXQA@pretalx.com
DTSTART;TZID=EST:20250722T090000
DTEND;TZID=EST:20250722T120000
DESCRIPTION:DifferentialEquations.jl is the main package in Julia for solvi
 ng differential equations. It has all sorts of things\, from solving ordin
 ary differential equations to stochastic differential equations\, differen
 tial-algebraic equations\, and more. You can switch to preconditioned GMRE
 S linear solvers\, exponential integrators\, integrate with automatic diff
 erentiation\, tweak the nonlinear solvers\, and add customized stepping/lo
 gging routines. Most people only ever scratch the surface: let's dive in.
DTSTAMP:20260310T191401Z
LOCATION:Lawrence Room 120 - REPL Main Stage
SUMMARY:A Deep Dive Into DifferentialEquations.jl - Chris Rackauckas\, Osca
 r Smith
URL:https://pretalx.com/juliacon-2025/talk/AREXQA/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-juliacon-2025-MWHF8J@pretalx.com
DTSTART;TZID=EST:20250722T130000
DTEND;TZID=EST:20250722T160000
DESCRIPTION:Building surrogates of fluid dynamics models is a common way to
  accelerate the analyses. In this workshop we will go hands-on with ML too
 ling to improve the ability to analyze a weather model. A live challenge t
 o find the parameters that maximize rainfall in a given model will drive t
 he discussion. Participants will interact with the model and submit soluti
 ons to a leaderboard to crown a winner. No prior ML or weather modeling ex
 perience required!
DTSTAMP:20260310T191401Z
LOCATION:Lawrence Room 120 - REPL Main Stage
SUMMARY:SciML in Fluid Dynamics (CFD): Surrogates of Weather Models - Chris
  Rackauckas\, Anas Abdelrehim
URL:https://pretalx.com/juliacon-2025/talk/MWHF8J/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-juliacon-2025-PJR3XQ@pretalx.com
DTSTART;TZID=EST:20250723T113000
DTEND;TZID=EST:20250723T120000
DESCRIPTION:The Julia SciML solvers in DifferentialEquations.jl are already
  pretty optimized for stiff ODEs and DAEs\, so where does the next order o
 f magnitude in performance come from? In this talk we will describe how sy
 mbolic-numeric compiler tricks are being integrated in to the solver archi
 tecture in order to achieve performance that is beyond anything possible w
 ith purely numerical systems.
DTSTAMP:20260310T191401Z
LOCATION:Cathedral Room 324 - Else Room
SUMMARY:Fast Stiff ODE/DAE Solvers via Symbolic-Numeric Compiler Tricks - C
 hris Rackauckas
URL:https://pretalx.com/juliacon-2025/talk/PJR3XQ/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-juliacon-2025-TBYEKY@pretalx.com
DTSTART;TZID=EST:20250723T120000
DTEND;TZID=EST:20250723T133000
DESCRIPTION:Join us for a hands-on workshop with Dyad Studio. Dyad is a fun
 damentally new modeling paradigm that brings together the declarative mode
 ling world and imperative Julia world. You'll learn how to assemble models
  declaratively using the Dyad syntax\, how to analyze the model through Dy
 ad Analysis and integrate any Julia package with Dyad through DyadInterfac
 e.jl.\n \nLunch will be provided. Capacity is limited\, so please [RSVP in
  advance]( https://share.hsforms.com/1VsptHAHTQkGv5A8X9Pae9gcwyu9)
DTSTAMP:20260310T191401Z
LOCATION:Lawrence Room 104 - Function Room
SUMMARY:Hands-on with Dyad Studio (RSVP required) - Chris Rackauckas\, Mich
 ael Tiller
URL:https://pretalx.com/juliacon-2025/talk/TBYEKY/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-juliacon-2025-EJSMQD@pretalx.com
DTSTART;TZID=EST:20250723T150000
DTEND;TZID=EST:20250723T151000
DESCRIPTION:We present OptimalUncertaintyQuantification.jl: A SciML package
  for end-to-end distributionally robust uncertainty quantification of stat
 ic and dynamic systems models. The tool performs a worst-case analysis so 
 as to make certification/decertification decisions on engineering models d
 efined in ModelingToolkit.jl as demonstrated on a variety of aerospace and
  structural engineering applications.
DTSTAMP:20260310T191401Z
LOCATION:Cathedral Room 324 - Else Room
SUMMARY:Optimal Uncertainty Quantification of SciML Models - Chris Rackauck
 as\, Adam R. Gerlach\, Avinash Subramanian\, Benjamin Chung\, Alexander Vo
 n Moll
URL:https://pretalx.com/juliacon-2025/talk/EJSMQD/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-juliacon-2025-MYSEST@pretalx.com
DTSTART;TZID=EST:20250724T113000
DTEND;TZID=EST:20250724T120000
DESCRIPTION:Boundary 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. BoundaryValueDiffEq.jl as a cruci
 al part of DifferentialEquations.jl provides powerful BVP solvers and tack
 les various kinds of BVP problems. In this talk\, the presenter will talk 
 about the latest development of BoundaryValueDiffEq.jl and why it makes it
 self a powerful and robust package.
DTSTAMP:20260310T191401Z
LOCATION:Cathedral Room G24 - If Room
SUMMARY:Efficient boundary value problems solving in SciML - Chris Rackauck
 as\, Qingyu Qu
URL:https://pretalx.com/juliacon-2025/talk/MYSEST/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-juliacon-2025-ZXBGVK@pretalx.com
DTSTART;TZID=EST:20250725T113000
DTEND;TZID=EST:20250725T120000
DESCRIPTION:Solving 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. In this talk we will talk ab
 out the latest advancements in solving nonlinear least squares problems in
  Julia. This includes a discussion of the newest methods and packages\, al
 ong with the remaining challenges around discoverability and documentation
 .
DTSTAMP:20260310T191401Z
LOCATION:Lawrence Room 104 - Function Room
SUMMARY:Fast and Robust Least Squares / Curve Fitting in Julia - Chris Rack
 auckas
URL:https://pretalx.com/juliacon-2025/talk/ZXBGVK/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-juliacon-2025-AQP9UM@pretalx.com
DTSTART;TZID=EST:20250725T140000
DTEND;TZID=EST:20250725T150000
DESCRIPTION:Comments\, questions\, or concerns about the future direction o
 f the SciML tools? Come here to discuss what we want to see in the near fu
 ture.
DTSTAMP:20260310T191401Z
LOCATION:Cathedral Room G24 - If Room
SUMMARY:SciML Roadmapping - Chris Rackauckas
URL:https://pretalx.com/juliacon-2025/talk/AQP9UM/
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