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Research Programs

SBI is engaged in a broad portfolio of research initiatives to deepen systems-level understanding of biology and apply those insights to challenges in medicine, global energy, and climate resilience.

Themes of Research

AI for Science — Nobel Turing Challenge

Artificial intelligence is reshaping the scientific method. SBI develops AI-guided discovery pipelines that connect biological data, autonomous experimentation, and interpretable analytics to accelerate impact in healthcare, global energy, and climate research.

Computational Platform for Systems Biology (CPSB)

Robust systems biology research relies on interoperable standards, simulation platforms, and analysis toolchains. SBI leads development of:

Theoretical Studies on Biological Robustness

Robustness is a defining property across biological scales. SBI explores the coupling between robustness, evolvability, fragility, and performance trade-offs to reinterpret disease mechanisms and therapeutic opportunities. Research spans:

Systems Drug & Therapy Design

By viewing cancer and complex diseases as robust, evolvable systems, SBI investigates multi-component treatment strategies that harness inherent trade-offs. Current focus areas include:

Additional Focus Areas

For collaboration inquiries please contact [email protected].