Neuralk AI
Alexandre Pasquiou is a seasoned professional in the fields of machine learning and computational neurosciences, currently serving as Co-Founder, Chief Scientist Officer, and President of Neuralk AI since September 2023, where the focus is on developing AI models for structured data representation to enhance accuracy in AI solutions across various industries. Prior experience includes a PhD role at Inria, CEA, NeuroSpin, contributing to research on language comprehension, and a research assistant position at NeuroSpin, where the goal was to understand the cortical bases of language comprehension. Earlier roles encompass data science positions at Stuart and happn, optimizing machine learning algorithms and user behavior models, alongside consulting work at Eternum Energy targeting solar kit solutions in Africa. Alexandre holds an engineer's degree from CentraleSupélec and a PhD from Université Paris-Saclay, complemented by certifications from EPFL and Harvard University.
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Neuralk AI
At Neuralk-AI, we develop our own AI embedding models specialized for structured data representation, allowing enterprises to build custom AI solutions that accurately interact with their own structured data. Our models leverage Graph Neural Networks (GNNs)-based models to deliver exceptional performance in representation and transfer learning tasks on structured datasets, giving these models a great potential for data cleaning and enrichment solutions.