Thomas Guyet, academic webpage

News

23/11/2023 -- Victor will defend his PhD entitled ``Generation of robust and realistic counterfactual explanations for individual decisions''. The external jury members are F. Giannotti, M.-J. Lesot and S. Gambs.
13/11/2023 -- I'm honored to make an invited presentation about declarative sequential pattern mining in Answer Set Programming during the 32th ILP/IJCLR conference in Bari/Italy.
01/11/2023 -- Andréa and Thibaut just started their PhD under my co-supervision. I'm really thrilled to start new exciting projects pour talented candidates.
31/07/2023 -- Our join book "Chronicles: Formalization of a Temporal Model" with P. Besnard is now available. It presents the formal details of the temporal model of Chronicles. For practical use, reach out the PyChronicle python packages.
04/07/2023 -- Presentation of a survey about the perception of negative sequential patterns during: PFIA.
15/06/2023 -- Victor Guyomard will present his work on robust counterfactual generation and a demonstration of the interface to analyse counterfactuals (for tabular data) during ECML 2023
07/06/2023 -- Kick-off of the PEPR Digital Health is also the official start of the SAFEPAW project.
21/04/2023 -- The 8th edition of the AALTD workshop will be held by ECML. Consider to submit to the workshop or to participate to the competition.
21/04/2023 -- Visit the Piece of Mind virtual photo-expo with its focus on our team.
13/04/2023 -- I gave an invited talk during the workshop on EHealth \& Ethics organized by the Da Vinci Research Center (slides are here.
21/02/2023 -- E. Pardoux (project ED-AIM, ENS Lyon, MFO) and A. Sauerbrei (Ethox, Oxford) organize a Workshop on ETHICAL DESIGN FOR AI IN MEDICINE (Registrations are open: https://workshopedaim.sciencesconf.org/, Oxford + Virtual)
17/01/2023 -- Very proud of H. Sebia, V. Guyomard and N. Sawadogo who will present their work during the French EGC conference.
06/01/2023 -- Presentation of the DRIAS project to the "rendez vous de la MITI"

Bio

I am an full researcher at the Inria Center of Lyon, since 2021. I am part of the AIstroSight team which investigates computer science tools to improve drug design. I am currently co-holder of an Inria/APHP chair AI-Raclès on high-dimensional data for care pathways analysis. 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).

Research interests

My research area is artificial intelligence (AI) with a multidisciplinary approach - algorithmic, design methodologies and cognitive science. I am particularly interested in discovering spatial and temporal patterns in semantically rich datasets. My areas of application are related to agronomy (mainly landscapes) and health (care pathways analysis).

My first research direction is the temporal and spatial pattern mining. 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 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. A recent approach I'm developping is the use declarative programming, more especially Answer Set Programming (ASP) with clingo, to mix pattern mining and reasonning.
My second research direction aims at better including the user in the loop of knowledge discovery. Specifically, I am interested in implementing interactive systems to support users in their exploration process of large datasets. To acheive this goal I propose an enactive point of view of the data interpretation that brings creative solutions to take into account the cognitive ergonomy of the knowledge discovery tools.

Current supervisions

Victor Guyomard, PhD candidate (2020-2023), with F. Fessant (Orange, co-Dir), A. Termier (co-dir) and T. Bouadi
Eric Pardoux, PhD candidate (2021-2024), with M Laerke (CNRS, co-dir)
Hana Sebia, PhD candidate (2022-2025), with H. Berry (co-Dir)
Andréa Ducos, PhD candidate (2023-2026), with A. Denizot (co-Dir)
Thibaut Peyric, PhD candidate (2023-2026), with A. Crombach from Beagle Team (co-Dir)

Former PhD supervisions

Nicolas Sourbier, PhD candidate (2019-2022), with M. Pelcat (Dir), F. Majorczyk and O. Gesny
Johanne Bakalara, PhD candidate (2018-2021), with O. Dameron, E. Oger (co-Dir) and A. Happe
Colin Leverger, PhD candidate (2017-2020), with A. Termier (Dir), S. Malinowski, R. Marguerie (Orange)
Clement Gautrais, PhD candidate (oct 2015-2018), with A. Termier (Dir), R. Quiniou, P. Cellier
Yann Dauxais, PhD candidate (feb 2015-2018), with D. Gross-Amblard and A. Happe (EA REPERES)

Publications

Projects

Current projects in which I am strongly involved in

AI-RACLES (2019-, Chaire APHP/Inria/Central Supelec) in collaboration with Pr. E. Audureau (APHP), A. Tennenhaus (CS) and L. Le Brusquet (CS). This project aims at using high-dimensional data analysis techniques to explore APHP datamart.
Within the project OPTISOINS (CSE-200001) (Y.-L. Nguyen, P. Pinson and N. Beeker), we investigate the care pathway of patient being hospitalized for lung cancers.
ED-AIM (2021-2024, CNRS Prime 80) in collaboration with P. Marty (CNRS/MFO), M. Laerke (CNRS/ENS Lyon). This project aims at investigating an ethical framework for artificial intelligence in medecine.
SafePaw (2023-, PEPR Digital Health).

Past projects

DRIAS (2020, CNRS MITI) This project explore the notion of public laws in the context of artificial intelligence technologies applied to health (and more especially the accountability of public institutes) in collaboration with IDPSP, REPERES, CERNA, INSPE.
PEPS (Pharmaco-Epidemiology of Health Product) (2015-2019, ANSM) The main aims of this project is to make pharmacoepidemiological studies from the medico-administrative databases. These databases contains administrative information about the reimbursement of the 65 millions of french insured. I'm responsible of the scientific program of the IRISA partner. Our aim is to develop temporal pattern mining techniques for care pathway analysis.
Hyptser (Hybrid models for predicting time series) (2017-2019, PGMO/IRSDI) collaborative work with S. Malinowski (LinkMedia) and V. Lemaire (Orange Labs).
Negative sequential pattern analysis (2017, EDF) collaborative work with the french electricity provider on negative sequential pattern analysis.
SePaDec (Sequential Patterns with Declarative Approaches) (2015-2016, Région Bretagne) The aim of this project is to explore declarative approaches, especially Anwser Set Programming to extract sequential patterns. This project will be applied to deeply explore small sets of care pathways. The project is being carried out with B. Negrevergne.
PayTal (2012/2015, PPD2) Urban sprawling and landscape relations analysis.
PayOTe (2009-2012, turns into an INRA Network) Characterization and simulation of realistic agricultural landscapes.
Couplage observation/simulation pour l'aide à la décision dans des syst&eagrave;mes complexes environnementaux (2014, RTR RISC-E) This project aimed at analysing the opportunity offered by artitificial intelligence and pattern mining to analyse remote sensing images.
SéSur - Security and monitoring in data streams (2007-2008, Inria) We developed on-line adaptative diagnosis system to analyse a stream of web-logs.