Pranjal is a Senior AI Scientist at Polymerize, Singapore building the world's first unified Material Informatics platform to accelerate R&D using AI. He works on developing predictive models, optimisation techniques curated for small experimental datasets, multi-stage processes in continuous development systems. His interests lie in making AI interpretable, logical and reasonable.
Pymoo is an open source python framework with state-of-the-art optimisation and post performance analysis capabilities. It provides an object oriented interface to solve constrained Single/Multi-Objective optimisation problems with a catalog of algorithms, customisations and post-optimisation evaluation functionalities. With additional features like Visualisation of optimal pareto-fronts, decision making, parallelization and customised sampling, Pymoo promises to be highly valuable for scalable optimisation solutions.