Myriam TAMI

Associate Professor in Artificial intelligence (Machine Learning and Statistics)

Currently, I am an associate professor Maître de Conférence (MCF) at the Mathematics Interacting with computer Science (MICS) laboratory of the University Paris-Saclay and "Grande Ecole" of engineers CentraleSupélec. Thus, I have both research and teaching responsibilities. Regarding research, I am either a leader or member of many publicly funded research projects, such as my recent CLearDeep ANR JCJC, or in collaboration with industrials. Regarding teaching, I am co-responsible for the MSc AI at CentraleSupélec and in charge of many teaching units in the machine learning field. This year, I am preparing my HDR (french diploma to apply for full professor positions). Before, I was a Machine Learning postdoctoral researcher at LIG lab, University of Grenoble Alpes, collaborating with TotalEnergies. I received a Ph.D. in Bio-statistics from the Univ. of Montpellier in 2016.

My research fields are machine learning and statistics. Mainly, my research works are motivated by data-driven machine learning problems such as heterogeneous data, structured and no structured data, multi-modal data, latent variables, weakly labelised data, and uncertain data. My current favorite research focuses on cross-pollinate causality (inference, discovery) and machine learning in service of AI methods for more generalization, interpretation, explanation, and trustability. The topic animating me is the latent causal representation learning from underlying observational data. I am interested in both theoretical results and practical methods and their application to heterogeneous data, eventually considering latent variables.

I'm looking for MSc, Ph.D. students and postdocoral candidates to work on research at the intersection of causality and ML. Some postdoc, Ph.D thesis and intern offers are bellow or coming soon. Come to join the dynamic researchers at the comfortable MICS lab workspace and more globally at University Paris Saclay. Women and students from underrepresented groups are strongly encouraged to apply (my lab is committed to being inclusive spaces). 

sc.116 - Bouygues building, 3 rue Joliot Curie 91190 Gif-sur-Yvette, France
• e-mailmyriam.tami (at) centralesupelec (dot) fr

Hiring:
- Research internship offer (coming soon)
- Ph.D thesis offer (coming soon)

Current Projects:
- ANR CLearDeep (2024-2028, leader) (web page coming soon)
- Project with CEA (2024-2027, participant) on Causal graphs and quantification of uncertainties
- Projets IMPT 2023 - Institut des Mathématiques pour la Planète Terre (consortium members from INRAE, IECL and MICS lab, participant)
- Research collaboration with TotalEnergies for SinclAIr lab on Causality for learning and intervening on wind turbine's welding quality prediction (2024-2025, leader)
- Research collaboration with Saint-Gobain on Causal learning for the analysis and prediction of customer behavior (2021-2024, co-leader).

My other scientific activities:
- Member of the MALIA (Machine Learning et Intelligence Artificielle) group of the SFdS. - Member of MIMS consortium
- Member of Causal-tau research group
- CVPR 2023 reviewer
- NeurIPS 2021 reviewer, NeurIPS 2022 reviewer, NeurIPS 2023 reviewer
- IJCAI 2020 reviewer, IJCAI 2021 reviewer, IJCAI 2022 reviewer, IJCAI 2023 reviewer
- EURO Journal on Decision Processes reviewer (2021)
- Member of the seminaire palaisien scientific comitee
- Mentor of a woman doctoral student via the Femmes & Sciences mentoring program for young women researchers at the University of Paris-Saclay (January 2021 - January 2022)
- Sustainable development correspondent of the MICS laboratory (summer 2020 - winter 2021)
- Industry 4.0 correspondent for the MICS laboratory (since summer 2020)
- Treasurer of the SFdS young Statisticians group (September 2019 - September 2021)