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Hi, I’m Emiliano Reynares 👋

As a PhD in Engineering with over a decade of hands-on experience, I’ve dedicated my career to driving innovation through data-driven solutions. My journey has taken me through both academia and industry, where I thrive on solving complex challenges at the intersection of technology and business.

My Expertise:

  • I specialize in the development and governance of data models, ontologies, and knowledge graphs, seamlessly integrating them with cutting-edge AI/ML techniques.

Current Endeavors:

  • I’m crafting an ontology-based data quality strategy at IQVIA.

Past Adventures:

  • During my tenure as a Knowledge Engineer at Boehringer Ingelheim, I actively contributed to the development of a FAIR-enabled data platform. Engaging in pharmaceuticals/academia driven data FAIRification activities, I witnessed firsthand the power of standardized, accessible data.
  • In a previous life, I donned the hats of a staff scientist at CONICET and a professor at Universidad Tecnológica Nacional. These diverse experiences have shaped my holistic understanding of research, teaching, and practical application.

Let’s Connect! I want to connect with fellow professionals, researchers, and industry enthusiasts. Whether you’re passionate about data or simply want to exchange insights, feel free to reach out to me on LinkedIn.

Emiliano Reynares's Projects

disastermessagesclassifier icon disastermessagesclassifier

The Disaster Response web app enables an emergency worker to classify text messages into 36 non exclusive categories. The web app depicts the contents of the training dataset - i.e.: real messages that were sent during disaster events - trough three visualizations.

sciarticlesrecommender icon sciarticlesrecommender

Data is processed, transformed, and loaded into the Neo4j graph database. Using the cleaned and modelled data, authors are disambiguated, recommendations in terms of what authors could review the incoming publications are made, and the most influential authors are identified.

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