Jeremie Kalfon

Jeremie Kalfon is a researcher at the Pasteur Institute in Paris, France, specializing in computational biology and gene regulatory network inference. His work focuses on leveraging machine learning and large-scale single-cell data analysis to unravel complex biological systems, particularly in cancer and immune diseases. Notably, he is a key contributor to the development of scPRINT, a transformer-based model for gene network prediction, batch correction, and denoising in genomics.

• Primary Affiliation: Pasteur Institute (Institut Pasteur)
• Research Themes: Computational biology, bioinformatics, leukemia genomics, single-cell RNA-seq modeling

Research Trends:
Kalfon’s publications demonstrate expertise in:

• Designing AI-driven tools for gene network inference
• Uncovering transcriptional plasticity in leukemia
• Mapping synthetic lethal interactions in cancers
• Decoding codon usage patterns and metabolic vulnerabilities

Grant Support:

• ANR-16-CONV-0005 (French National Research Agency)
• European Research Council H2020 grant #101115618

Collaborative Networks:
He collaborates with interdisciplinary teams at Pasteur Institute and contributes to educational workshops on AI in life sciences, reflecting his commitment to training the next generation of computational biologists.