Julien Thibault

Julien Thibault
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Main area of research
Natural language & AI

Julien Thibault is a Senior NLP Research Engineer in the Clinical Language Understanding group with research interests in the areas of clinical information retrieval, machine learning, and distributed biomedical data management. Prior to joining Nuance, Julien was a software engineer at Micron Technology, Inc. His current areas of research are in computer-assisted coding and medical text analytics. He earned a M.S. in Software Architecture from EPF Ecole d'Ingénieurs (France), a M.S. in Computer Science from Boise State University, and a Ph.D. in Biomedical Informatics from the University of Utah.

Selected articles

iBIOMES Lite: summarizing biomolecular simulation data in limited settings

As the amount of data generated by biomolecular simulations dramatically increases, new tools need to be developed to help manage this data at the individual

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Data model, dictionaries, and desiderata for biomolecular simulation data indexing and sharing

Background: Few environments have been developed or deployed to widely share biomolecular simulation data or to enable collaborative networks to facilitate data exploration and reuse.

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iBIOMES: managing and sharing biomolecular simulation data in a distributed environment

Biomolecular simulations, which were once batch queue or compute limited, have now become data analysis and management limited. In this paper we introduce a new

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Biomedical terminology mapper for UML projects

As the biomedical community collects and generates more and more data, the need to describe these datasets for exchange and interoperability becomes crucial. This paper

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Accelerating incompressible flow computations with a Pthreads-CUDA implementation on small-footprint multi-GPU platforms

Graphics processor units (GPU) that are originally designed for graphics rendering have emerged as massively-parallel “co-processors” to the central processing unit (CPU). Small-footprint multi-GPU workstations

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