• Lead the end-to-end lifecycle of scalable machine learning and data analytics platforms for healthcare applications, from conceptualization to deployment and optimization.• Architect cloud-native solutions using Kubernetes and GCP to ensure reliability, scalability, and security. • Design custom metrics and scores (e.g., GlucoScore™) to assess diabetes management. • Develop advanced ML and hybrid SciML models for predictive analytics. • Build and manage pipelines for real-time monitoring and analysis. Core

Major concentrations:• Computational Catalysis and Chemical Kinetics: Design of Transition-Metal/Zeolite Catalysts for Direct Conversion of Coal-Derived Carbon Dioxide to Aromatics (U.S. Department of Energy for financial support through contract DE-FE0031719)• Scientific Machine Learning and Inverse Problems: Physics-Informed Neural Networks and Neural ODEs (2021 IBM PhD Fellowship)

Impact Science - Accelerated Discovery• Designed Graph-convolutional Neural Networks (JAX) for thermodynamic properties predictions (ring-opening polymerization)

Green-Ethylene chemical plant, I'm green™• Technology support• Mass balance reconciliation• Prospective catalysts selection and evaluation• Data-driven process diagnosticsDevelopment of Python packages to assess, monitor and evaluate plant KPI via ODBC-InfoPlus.21 (AspenTech).

• Provided assistance and technical support to heterogeneous-catalyst tests in µ-activity reactors for ethanol-to-olefins reactions.• Performed broad literature reviews covering ethanol dehydration reactions on metal supported and zeolyte-type catalysts.• Planned experiments, gathered data and executed statistical data treatment towards reaction conditions optimization and catalyst classification/selection.

under Dr. Phillip Christopher advisement• Performed heterogeneous catalyst synthesis (incipient wetness impregnation) and tests in differential Harrick reactor.• Evaluated heterogeneous catalysts performance using gas chromatography and mass spectrometry under thermo- and photo-thermal catalytic conditions.• Designed packed-bed µ-activity reactors along with mass flow (rotameters) and PID-temperature controllers, as well as its insulation for thermocatalytic tests.• Qualitatively evaluated supported metals oxidation states using diffuse reflectance UV-vis spectroscopy (DR-UV-Vis).• Provided literature surveys on thermal catalysis and photocatalysis on CO2 methanation, CO and CH4 oxidation, forward and reverse Water-Gas-Shift reaction, and catalyst synthesis by sol-gel and photodeposition methods. • Employed numerical methods to linearize and solve microkinetic algebraic systems, calculate reaction rates, adsorbates coverage, degree of rate control and principle component analysis (PCA) over kinetic parameters.

• Technical and Economic Analysis of Cogeneration Models, Transmission Lines and Small Hydropower Plants.• Investment Analysis along with the Brazilian Development Bank (BNDES).• Visual Basic for Applications (Macro) development as tool for assessing the economic feasibility of projects.