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A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model. State of the art optimization algorithms are included. A common interface is provided to other optimization frameworks/algorithms such as NLOPT, SciPy, SNOPT, IPOPT, GSL

License: GNU General Public License v3.0

CMake 0.63% Python 5.94% C++ 91.88% C 1.55%

pagmo's Introduction

Hi there! ✌️

I'm an πŸ‡ΊπŸ‡ΈπŸ‡¬πŸ‡§πŸ‡ΈπŸ‡ͺ AI researcher who likes to blend the reliability of model-based approaches with the adaptability of machine-learning approaches. My experience spans different aspects of critical robotic systems (planning, control, localisation, engineering) in the aerospace and maritime domains. I'm now leveraging parallels with robotics to improve deep generative modelling (GenAI) in the biological domain for tasks such as molecular docking and generation. I value out-of-the-box thinking and a first-principles approach.

πŸ“’ Currently seeking a research scientist position in AI for science.

Expertise 🧐

  • Dynamics-based generative models: flow matching, diffusion models.
  • Hybrid dynamical systems: switched systems, discontinuous dynamical systems, behaviour trees.

pagmo's People

Contributors

amambrini avatar bluescarni avatar chrisandre avatar cisprague avatar coolrunning avatar cupidi avatar dantexid avatar darioizzo avatar dariomm098 avatar dhennes avatar dwgoon avatar florinsch avatar gmazzamuto avatar ingmar-getzner avatar jdiez17 avatar jj avatar jlabroquere avatar john-colvin avatar juxi avatar karthikraman avatar lfsimoes avatar lisariccardi avatar lumoconnor avatar magnific0 avatar munder12 avatar ortegga avatar sunilmahendrakar avatar swilli avatar ys-l avatar

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