Alice Lacan, Ph.D.

Junior AI Fellow · CBIO, Mines Paris - PSL & Institut Curie

I am currently a Junior AI Fellow, funded by a 3-year PR[AI]RIE AI Fellowship. I work with Eloïse Berson at the Centre for Computational Biology (CBIO) at Mines Paris - PSL & Institut Curie (unit U1331), while also teaching in the International Bachelor of Science in AI (IBSAI) from Univ. PSL.

I work on generative modelling and more general deep learning approaches for biomedical data, from epidemiologic data, gene expression profiles to longitudinal electronic health records (EHRs). I have expertise in scarce, irregular and high-dimensional medical data, such as tabular data or long token sequences for instance.

From 2021 to 2024, I completed my PhD in Computer Science at Univ. Paris-Saclay, in the Arobas team (IBISC) & TAU team (Inria). My thesis focused on generating synthetic transcriptomics (bulk-RNA data) via deep generative models (VAEs, GANs, diffusion) for downstream data augmentation and cancer classification tasks.

Cartoon of Alice, thinking

Updates

  • Sep 2026 Started as Junior AI Fellow at CBIO (Mines Paris – PSL & Institut Curie), funded by a 3-year PR[AI]RIE AI Fellowship.
  • May 2026 Our paper on diffusion models for gene expression data is out in BMC Bioinformatics. →
  • Sep 2025 Joined CBIO (Mines Paris - PSL & Institut Curie) as a postdoctoral researcher.
  • March 2025 Invited speaker at Women in STEM EUROPE launch event →
  • Feb 2025 Defended my PhD at Université Paris-Saclay on deep generative models for transcriptomics.
  • Sep 2024 Presented GMDA, our frugal generative model for tabular data, at ECML-PKDD 2024. →

About this website’s design: the shapes and colours are inspired by Wassily Kandinsky’s paintings, the coloured offsets and newspaper clipping by Andy Warhol’s screen prints and collages (e.g. Daily News, c. 1967), and the cartoon illustrations are derived from Pinterest illustrations.