A SkillsCast for this session is not available.
OpenMOLE is a scientific platform for parameter tuning and model exploration that has helped many scientists better understand their models https://next.openmole.org/communications.html
The platform sits on an ecosystem of libraries ranging from:
GridScale: to interact with distributed HPC environments, currently re-designed around the FreeMonad pattern (https://github.com/openmole/gridscale)
MGO: a purely functional scala library implementing state-of-the-art evolutionary / genetic algorithms (https://github.com/openmole/mgo)
FreeDSL: a practical effect composition library based on abstract wrapping type and the free monad (https://github.com/ISCPIF/freedsl)
This talk will introduce you with some of the elements of the OpenMOLE ecosystem, show how they can benefit other projects and highlight some of their design choices.
YOU MAY ALSO LIKE:
- GridScale: a journey from Object-Oriented to (more) Functional programming (SkillsCast recorded in December 2016)
- Essential Effects | ScalaCon Workshop (Online Course on 10th - 13th May 2021)
- Akka Streams for Scala | ScalaCon Workshop (Online Course on 10th - 12th May 2021)
- ScalaCon 2021 (Online Conference on 18th - 22nd May 2021)
- Haskell eXchange 2021 (Online Conference on 16th - 17th November 2021)
- An Introduction to Cats Effect with Adam Rosien (SkillsCast recorded in April 2021)
- Rethinking Bioinformatic Algorithms Using F# (SkillsCast recorded in October 2020)
Building an ecosystem of functional libraries for the OpenMOLE scientific platform: from batch jobs to automatic model parameter tuning
Jonathan Passerat-Palmbach holds a PhD from Blaise Pascal University of Clermont-Ferrand (France). He is currently a research associate at Imperial College London, in the BioMedIA group. His work is focused on high performance computing tools and software engineering applied to simulation and medical image analysis.