معرفی
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.
