Nikita Lagrange

Nikita Lagrange

PhD in Computer Science

About Me

I hold a PhD in Computer Science from Sorbonne Université. I conducted my doctoral research at Institut Curie in Paris under the supervision of Dr. Hervé Isambert.

During my PhD, my research focused on machine learning, particularly causal discovery.

I am interested in developing and applying AI methods to challenging scientific and industrial problems.

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Interests
  • Machine Learning
  • Causal Discovery
  • Deep Learning
  • Multimodal Learning
  • Computational Biology
Education
  • PhD in Computer Science

    Sorbonne Université

  • M.Sc. in Bioinformatics & Modelling

    Sorbonne Université

📚 Research

My work in causal discovery focused on developing a new search-and-score method for learning causal structures in the presence of latent variables. The method handles nonlinear and non-Gaussian relationships while remaining computationally efficient, and led to a first-author publication at ICML 2025.

Alongside this work, I contributed to collaborative projects that led to publications in npj Digital Medicine and eLife.

My current research interests extend more broadly to deep learning, multimodal learning, foundation models, and uncertainty-aware learning.

📝 Publications
(2025). Hybridation et pédagogie par projet : retour d’expérience. Colloque “Questions de Pédagogies dans l’Enseignement Supérieur” (QPES2025).
(2025). Preserving information while respecting privacy through an information theoretic framework for synthetic health data generation. npj Digital Medicine.
(2025). CausalXtract, a flexible pipeline to extract causal effects from live-cell time-lapse imaging data. eLife.
Talks
Academic Services

Reviewer

Doctoral Student Representative

📰 News
December 2025

I successfully defended my PhD thesis 🎓 after three years of research at Institut Curie and eight years at Sorbonne Université.
I am grateful to my PhD advisor, Dr. Hervé Isambert, for his guidance and support throughout this journey.

September 2025

I attended the PRAIRIE/MIAI Artificial Intelligence Summer School (P.A.I.S.S.) in Grenoble 🇫🇷, with lectures and discussions on recent advances in artificial intelligence and machine learning.

July 2025

I attended the Eastern European Machine Learning Summer School (EEML 2025) in Sarajevo 🇧🇦, bringing together students and researchers from across the international machine learning community.