Preparation and execution of batch fermentation processes utilizing various carbon sources, responsible for monitoring, collecting, and analyzing data. Cultivation of microorganisms. Use of design of experiments (DoE) for project screening.Python programming: kinetic modeling and optimization; implementation of hybrid modeling through neural network in bioprocess; statistical analysis including parameter uncertainty and confidence regions; and application of metaheuristic optimizers such as Genetic Algorithm, Differential Evolution, and Particle Swarm.Development of methods for obtaining aromatic compounds from agro-industrial waste through a patent.Process development for obtaining nanocellulose, including organosolv pretreatment of sugarcane bagasse pulp, bleaching, acid hydrolysis, oxidation, and preparation of nanofibrillated cellulose, and application of aromatic compounds in nanocellulose film production.Implementation of a liquid-liquid extraction step evaluating various organic solvents to remove inhibitors from the fermentation process and carrying out Techno-Economic Analysis and Process Simulation (ASPEN) for this step to increase the efficiency of the fermentation process.

A hybrid modeling approach applied in bioprocesses to evalute and simulate the lignocellulosic fermentation process (model structure selection, artificial neural network development, parameter estimation and uncertainty)