Research Team
Dr. Eloïse Berson
Eloïse Berson is a Junior Professor in AI for Digital Health at Mines Paris-PSL and Institut Curie (Paris), affiliated with the Center for Computational Biology (CBIO), where she leads research at the intersection of machine learning and biomedicine. Her work is driven by a commitment to building robust, trustworthy, and equitable models that can meaningfully improve medicine and advance our understanding of disease. Prior to this, she was a postdoctoral fellow at Stanford University with Dr. Thomas Montine and Dr. Nima Aghaeepour, where she developed large-scale multimodal deep learning models to uncover disease signatures from multi-omics, electronic health records, and high-throughput biomedical data. Her interests span foundation models, longitudinal data representation, data efficiency, and model interpretability. She completed her PhD in deep learning for multimodal 3D facial animation editing under the supervision of Dr. Nicolas Stoiber and Dr. Catherine Soladié.
Kareem Elgohary
Kareem received an M.Sc. from the University of Strasbourg, where he worked on several research topics in medical AI through collaborations with CAMMA and the Images team at ICube, including generative modeling, diffusion-based methods, and knowledge-guided multimodal reasoning. He is currently a PhD student at Mines Paris-PSL, working on interpretability in EHR-based disease risk prediction. His research interests lie in multimodal learning, interpretability, and reliable machine learning for biomedical and clinical applications.
Alice Lacan
Alice completed her PhD at IBISC and Inria Saclay (Université Paris-Saclay), where she worked on generative modeling for transcriptomics data using VAEs, GANs, and diffusion models. She is currently working on modeling patient trajectories using electronic health records. Her research interests lie in statistics and machine learning for biomedical applications and precision medicine, across data types such as epidemiological, omics, and EHR data.
Xiaolong Yang
Xiaolong is currently a Master 2 student at PSL University and is undertaking his graduation internship at Mines Paris-PSL in collaboration with Dr. Lucille Stuani. His work focuses on statistical learning and machine learning on real-world tabular data time. His research interests lie in statistical and machine learning methods for high-dimensional biomedical data analysis, particularly in single-cell and cytometry data.