Co-founder and Research & Development coordinator. Currently executing a FAPESP project of a proof-of-concept of a novel Biogas monitoring system

-Development of a molten-salt electrolysis process for the production of rare earth metals. Includes: project of the process; project of the instrumentation and control logic (industry 4.0-ready) and of some equipment; lab and pilot scale experiments; process modelling; computational simulations; and supervision of the processes of acquisition of equipment, supplies and services- Product Owner of an Industry 4.0 platform based on Thingsboard.io (NodeJS microservice architecture, using RabbitMQ with MQTT). Main activity: BDD + DDD integration between the cloud software R&D team, the firmware development team (PLCs and IoT devices) and the chemical/mining/metallurgical process engineering teams (operations, maintenance, mechanical project, piping, instrumentation, management, etc)

- Construction and validation of a predictive genome-scale metabolic model of a bacterial strain (Pseudomonas sp. LFM046) for use in bioprocess development (primary focus: biodegradable plastic. Others: biodegradable surfactants, pigments, cosmetics)- Generalisation and validation of the methodological pipeline used above with a database generated during the course of 2 decades, containing of 5000+ records of 4000+ h of chemostat CSTR and fed-batch bioreactor experiments- Development and validation of a new theoretical model of the microbial maintenance process that is applicable to conditions of energy excess (unlike the traditional models of Herbert and Pirt)- Teaching in the course “systemic analysis and microbial metabolism engineering – BMM5729” of the Biotechnology Post-Graduation Program of the University of São Paulo (12h in 2016, 44h in 2018, 16h in 2020)- Presentation “Developing a metabolic model for PHA production by Pseudomonas sp. based on genome and 13C chemostat data"​ at 8th European Symposium on Biopolymers (ESBP 2015, Rome, Italy, September 2015)- Presentation "Beyond the black box: building a metabolic model from genome and 13C chemostat data"​ at 20º Simpósio Nacional de Bioprocessos (SINAFERM 2015, Fortaleza, Brasil, September 2015)- Presentation "Characterization of polymer produced by recombinant Pseudomonas” at 14th International Symposium on Biopolymers (ISBP 2014, Santos, Brasil, October 2014)

Internship for developing part of the PhD. Main results (using the data of the strain Pseudomonas sp. LFM046 as the first case-study):- A new theoretical model for mapping and predicting all likely phenotypes of a living organism, that can be built from ordinary bioreactor data- A software solution that automates most of the refining process of a genome-scale metabolic network. The network is reconstructed with comparative genomics as usual and then refined with the phenotypic information encoded in the theoretical model above

- Detection of an undesired coupling between the control loops of pH and of the flowrate of nitrogen-containing feedstock in the bioreactors, what was leading to unrealistic estimations of yields- This was detected by process modelling on data gathered over 3 years and experience with bioreactor control, and has prevented large losses in the scale-up project of a bioprocess of production of recombinant hydrolases, part of a bigger bioprocess of second-generation ethanol (biorefinery, scale-up to pilot-plant)

- Setup and startup of a 500 mL mini bioreactor, solving operational problems that had been present for over 1 year. For example, the detection of a faulty compressor generating ressonance in the pressure control loop of the compressed air supplies- Stable operation of over 1000 h of weeks-long experiments in 2013, including successful very sensitive and expensive chemostat experiments using labeled carbon (carbon-13)

- Assistant consultant of chemical process engineering and management of a project of expansion and quality improvement of a mechanical pulp unit. Responsible for the reformulation of the piping / pumps, having improved the efficiency in water and energy consumption of the process- Implemented software to automate ProjNet's internal CAD software Cadmatic (TM), including integration to project databases (SQL). Found a very rare hardware flaw in 5 computer workstations of the company, solving the apparently random crashes caused by their interplay in the intranet, and thus increasing the productivity of the whole team