LIG - Grenoble Informatics Laboratory
Nakanyseth Vuth is a PhD candidate at the Laboratoire d'Informatique de Grenoble, focusing on data augmentation, information extraction, and measuring stereotyped bias in large language models. Prior experience includes a research internship at LIG, where Vuth explored biases in lexical graph embeddings, and a research assistant role at the Cambodia Academy of Digital Technology, overseeing the Khmer Chatbot project and training students in machine learning. Vuth has also worked as a project manager and web developer at SALATECH PTE. LTD, along with earlier roles in web development and web merchandising at Decathlon Cambodia. Academic qualifications include a Doctor of Philosophy in Computer Science from Université Grenoble Alpes and a Master of Science in Data Science and Artificial Intelligence from the National School of Computer Science and Applied Mathematics of Grenoble.
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LIG - Grenoble Informatics Laboratory
Grenoble Informatics Laboratory (LIG) is one of the largest laboratories in Computer Science in France. It is structured as a Joint Research Center (French Unité Mixte de Recherche - UMR) founded by the following institutions: CNRS, Grenoble Institute of Technology (Grenoble INP), Inria Grenoble Rhône-Alpes, Grenoble Alps University. 500 members of LIG (faculty, full-time researchers, PhD students, administrative and technical staff) are distributed over three sites in Grenoble and its suburbs: the Saint Martin d'Hères Campus, Minatec, and the Montbonnot Campus. The mission of LIG is to contribute to the development of fundamental aspects of Computer Science (models, languages, methodologies, algorithms) and address conceptual, technological, and societal challenges. Increasing diversity and dynamism of data, services, interaction devices, and use cases influence the evolution of software and systems so they need to guarantee the essential properties such as reliability, performance, autonomy, and adaptability. Addressing such challenges is the objective of 24 research teams organized into 5 focus areas: Data and Knowledge Processing at Large Scale, Distributed Systems, Parallel Computing, and Networks. Formal Methods, Models, and Languages, Interactive and Cognitive Systems, Software and Information System Engineering. LIG focuses on the fundamentals of Computer Science and experimental developments while taking into account new societal challenges.