Wilder is an entrepreneur, inventor, and research engineer based in Europe.

He is currently the Chief Architect for Machine Learning at Graphstax, a US-based company building
neurosymbolic artificial intelligence (AI) products to leverage information buried deep in enterprise data.
He is also the founder of Ogarantia, an European deep-tech company bridging the gap between
groundbreaking mathematical techniques and algorithm design to enable the deployment of robust AI in production.

Back in 2018 he was co-founder and CTO of Upstride, a startup that optimized the performance of
neural networks (NNs) via the use of Clifford (Geometric) Algebras. As CTO, he was the one in charge
of building the technical vision, improving the tech and product roadmap, and lead the tech/product teams. Upstride raised over EUR 3 million, of which EUR 1.6 million from venture capital. In July 2021, Upstride was acquired by ContentSquare.

Before founding Upstride, he was an applied scientist (machine learning and signal processing) at UCit.fr,
where he was responsible for building their statistical-learning algorithms and software for
high-performance computing. In 2016 he earned a Ph.D. in Electronics Engineering (machine-learning and
signal processing) from the University of Sao Paulo, Brazil, with a one year-long research period
at the Technical University Munich (TU Munich) (LMT-TUM), Germany. From 2016 to 2017, he was a Postdoc at
Thales Research and Technology in Paris, France, supported by a Marie Curie Research Fellowship of the INFIERI network, where he developed AI algorithms to increase the power efficiency of supercomputers.

His interests include AI, signal processing, Clifford (Geometric) Algebras, adaptive filtering, computer vision, applied mathematics, integrated-circuits design, and high-performance computing.

You can find more details in the links below:

CV/Resume  GitHub  LinkedIn iconLinkedIn     GoogleScholar iconGoogle Scholar    RG iconResearchGate

ORCID iD iconorcid.org/0000-0003-3291-7465