Óscar García Hinde

AI Lead at Tucuvi

Óscar García Hinde has an extensive background in research and education in the fields of machine learning, data science, and signal processing. Óscar has worked as a research assistant and teaching assistant at Universidad Carlos III de Madrid, focusing on feature selection, Bayesian models, and energy distribution. Additionally, Óscar has experience as a visiting scholar at The University of New Mexico, researching Bayesian models for power load forecasting. Apart from their academic pursuits, Óscar has also worked as a sound technician at RTVE CORPORACIÓN and as a self-employed musician, performing as a pianist and keyboardist for various bands.

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Madrid, Spain

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Tucuvi

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Tucuvi is a healthtech startup that has created the first Virtual Nurse for care automation. We've developed CE marked cutting-edge conversational AI and voice technology to automate patient monitoring. We are helping over-saturated healthcare systems augment their clinical team capacities and optimize their processes to improve patientoutcomes, revenue and satisfaction.


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11-50

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