Track III Spatiotemporal Omics (Driven by Multi-Tissue Biobanks): Subtrack 4. Infection(J28014)

Foundation Model

BGI’s high-precision spatial omics datasets across various tissue types support the development of spatial omics foundation models for both animal and plant systems. Virtual organ models (e.g., skin, brain, aging models) can be fine-tuned from the base model.

Vertical Applications

(To be further specified)

Affiliated Branch

Hangzhou Branch (Hangzhou)

(1) Preferred Background

Infectious Disease Biology, Immunology, Microbiology, or Computational Biology.

(2) Core Technical Skills

Host-pathogen interaction modeling; spatial immune response analysis; pathogen detection algorithms.

(3) Modeling Competency

Experience simulating infection dynamics or resistance evolution.

(4) Preferred Qualifications

Experience in infectious disease datasets or antimicrobial resistance research.

(5) Personal Traits

Rapid learner, mechanism-focused, and interested in public health impact.