TEKLIA was founded in 2014 to foster the transfer of Machine Learning and Deep Learning technology for document understanding from the research labs to the industry.
Christopher Kermorvant (Founder), Machine Learning Expert
Christopher has 20 years of experience in Machine Learning research conducted both in university laboratories ( EPFL – IDIAP , Université de Lyon Saint-Etienne – Laboratoire Hubert Curien, Université de Montréal – MILA) and in the software industry (A2iA). He holds a Ph.D. in Computer Science from the Université de Lyon-Saint-Etienne and graduated in Computer Engineering from ENSIIE and Manchester University.
Emanuela Boros, Machine Learning Scientist
Emanuela holds a Ph.D. in Computer Science from University Paris-Saclay. She is specialised in Machine and Deep Learning applied to Natural Language Processing. She holds a M.Sc. in Software Engineering from Alexandru Ioan Cuza University and a Master of Art from George Enescu Art University.
Marie-Aude Aufaure, Big Data and Artificial Intelligence Expert.
Marie-Aude is associated consultant at TEKLIA. She is in charge of the Big Data and AI training program at CentraleSupélec Executive Education. She was a researcher at INRIA and holder of the SAP research chair in Business Intelligence at Ecole Centrale de Paris. She holds a PhD and a Habilitation à Diriger les Recherches in Computer Science.
Bastien Abadie, Senior Developer.
Bastien is specialised in backend development using open-source stacks and DevOps tools (python, django, ansible, docker). He holds a M.Eng. in Computer Science from Ecole Nationale d’Ingénieurs de Brest.
Erwan Rouchet, Junior Developer.
Erwan graduated in software development from Université de Lille. He is specialised in python development for backend.
Mélodie Boillet, Machine Learning Engineer.
Mélodie is graduating from INSA de Rouen-Normandie, specialised in Data Science and Deep Learning models for document image processing.
Louise Guillon, Machine Learning Engineer.
Louise is graduating from AgroParisTech and Université Paris-Dauphine with a specialization in DataScience, Natural Language Processing and Information Extraction in documents.
Cemil Demir, Associate Handwriting Recognition Scientist.
Cemil is specialized in Speech and Handwriting recognition with statistical and Deep Learning models. He was chief researcher at TÜBİTAK Bilgem. He holds a Ph.D. in Speech recognition and a M.Sc. in Electronics Engineering from Boğaziçi University.
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