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Bayesian Computational Statistics and Modeling
BAYESCOMP
Bayesian Computational Statistics and Modeling

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process systems engineering

Ricardo Manuel Pinto de Lima

Research Scientist, Applied Mathematics and Computational Science

optimization process systems engineering renewable energy energy systems stochastic programming robust optimization uncertainty quantification risk management nlp minlp milp scheduling

My mission is to develop computational models and methods based on mathematical optimization and data science for sustainable energy and chemical processes. I am deeply committed to decarbonization, climate change mitigation, and optimal operations management.

Bayesian Computational Statistics and Modeling (BAYESCOMP)

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