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.
My work lies at the intersection of machine learning, causality, and computational biology.
More broadly, I am interested in developing and applying AI methods to challenging scientific and industrial problems.
- Machine Learning
- Deep Learning
- Computational Biology
- Causal Discovery
- Multimodal Learning
PhD in Computer Science
Sorbonne Université
M.Sc. in Bioinformatics & Modelling
Sorbonne Université
B.Sc. in Life Sciences
Sorbonne Université
My research focuses on developing machine learning methods that remain reliable and scalable when applied to complex real-world data.
During my PhD, I developed a novel search-and-score framework for causal discovery that extends the MIIC algorithm. The method improves causal structure learning in the presence of latent variables and nonlinear relationships while remaining scalable to large graphs.
More recently, my interests have expanded toward modern machine learning, including multimodal learning, foundation models, and uncertainty-aware learning. Ultimately, I aim to develop AI systems that are both scientifically grounded and practically useful.
Reliable Causal Discovery from Information Theoretic Principles (State of the art & ongoing project)
Presentation of my thesis work at the retreat for young researchers from Institut Curie, Centre des Cordeliers, and Institute of Biotechnology of the Czech Academy of Sciences in Prague, Czech Republic
Sep 22, 2024
Improving Graphical Models Through Data Generative Approaches
Presentation of my thesis project and preliminary results to the AI-DSCY team
Sep 27, 2023
Reviewer
Former Doctoral Student Representative
- EDITE Doctoral School Board (2024–2025)
- Participated in board meetings and contributed to doctoral school governance.
I successfully defended 🎉 my PhD thesis after 3 years at Institut Curie 🇫🇷 and 8 years at Sorbonne Université 🎓.
I would like to warmly thank my PhD advisor, Dr. Hervé Isambert, for his guidance, trust, and insightful advice throughout this journey.
My sincere thanks also go to the members of my jury: Pr. Marianne Clausel as president, Pr. Philippe Leray and Dr. Émilie Devijver as reviewers, for their careful reading, constructive feedback, and stimulating scientific discussions.
Finally, heartfelt thanks to my colleagues, friends, and family for their constant support along the way 🙏
I had the pleasure of attending the PRAIRIE/MIAI Artificial Intelligence Summer School (P.A.I.S.S.) in Grenoble 🇫🇷 . It was an unforgettable week of world-class talks from Yann LeCun to Michael Jordan and a community that made the learning stick. I met passionate students from around the world 🌍 and learned a lot through discussions and poster sessions.My gratitude 🙏 goes to the organizers, volunteers and sponsors.
I had the pleasure of attending the Eastern European Machine Learning (EEML) Summer School in Sarajevo 🇧🇦, a vibrant event that brought together participants from 44 countries, with over half representing Eastern Europe. This diversity is a key strength of science and collaboration.My warmest thanks 🙏 to the amazing organizing team, volunteers, lecturers, and sponsors who made this event possible and accessible.