I am an full researcher at the Inria Center of Lyon, since 2021. I am part of the AIstroSight team which investigates digital science tools to improve drug design through their application ranging from biological processes understanding to epidemiology.
I am currently co-holder of an Inria/APHP chair AI-Raclès on high-dimensional data for care pathways analysis. I am also Vice-President of the French Assocation for Artificial Intelligence (AFIA).
From 2007 to 2021, I was assistant professor at Institut Agro -- AGROCAMPUS OUEST and was working in the IRISA laboratory (LACODAM Team) in Rennes, chair of the Health and Biology cross-cutting research theme. In 2020, I defended my habilitation "Enhancing sequential pattern mining with time and reasoning".
I received my PhD thesis in Computer Science in 2007 from National Polytechnic Institute of Grenoble. During my Phd ("Collaborative interpretation of time series. Application to intensive care data"), I worked in the Grenoble Informatic Laboratory (LIG) in a wide range of the artificial intelligence domain (cognitive science, data mining, time series analysis and health data) and in the TIMC Laboratory in a team that works in the applied field of cardio-respiratory physiology (PRETA).
My research area is artificial intelligence (AI) with a multidisciplinary approach. I am particularly interested in discovering temporal patterns in semantically rich datasets. This involves the development of innovative methodologies, including PDE discovery, time series analysis, timed-tensor decomposition, timed sequence clustering. My areas of application are related to health (care pathways analysis, cell dynamics understanding). Formally, I was also interested in agronomic science (landscapes analysis, remote sensing)
My first research direction is the temporal and spatial pattern discovery. Data from the observation of living systems (agricultural and medical systems) have a strong spatial or temporal dimension. But the spatial and temporal information is often underutilized in the data mining or machine learning algorithms. The challenge lies in identifying new kind of temporal/spatial patterns that have valuable properties to make possible their extraction by complete and correct algorithms.
My second research direction aims at better including the user(s) in the loop of knowledge discovery. Specifically, I am interested in implementing interactive systems to support users in their exploration process of large datasets. This leads me to contribute to multidisciplinary project with colleagues in philosophy (epistemology, ethic), law studies or cognitive sciences.
Current projects in which I am strongly involved in
Past projects
Centre de recherche Inria de Lyon
Campus La Doua Villeurbanne Bâtiment CEI-2
56, Boulevard Niels Bohr - CS 52132
69603 Villeurbanne – France
Mail : thomas_dot_guyet_at_inria.fr
Phone : +33(0) 4 72 43 74 96
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