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of Engineering Biologists
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KAIST Graduate School of Engineering Biology
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KAIST Graduate School of Engineering Biology
Areas Critical for Solving Humanity’s Grand Challenges — Yet Facing Limitations
01 Complexity of
biological phenomena
Low reproducibility
02 Extreme
diversity
Reduced predictive efficiency
03 Complex experimental
procedures
Difficulty in standardization
The Need for Predictable and Safe High-Performance Cellular Systems, and Advanced Design–Manufacturing Technologies
High-throughput systems
Artificial Intelligence (AI)
Component/Module-based engineeringInnovation Driven by Synthetic Biology (Since 2010)
Top-Down Approach
(Biological Engineering) Redesigning existing biological functions through genetic modification
Bottom-Up Approach
(Synthetic Biology) Building biological functions from scratch using DNA and essential biomolecular components
Bio-Manufacturing Innovation (Since 2020)
Production of diverse biochemicals and biomaterials replacing petroleum-based resources, including natural rubber precursors and high-performance optical films.
Rapid manufacturing of mRNA vaccines for pandemic response and securing reliable supply chains for raw materials and intermediates used in therapeutics.
Production of biofuels and biochemicals from greenhouse gases (e.g., CO₂) through synthetic biology–based conversion technologies.
Engineering Biology is an emerging discipline that integrates engineering principles into the life sciences to design, construct, and synthesize biological components and systems — encompassing the core concepts of synthetic biology. It represents a new frontier in science and technology, recently recognized as one of Korea’s National Strategic Technologies and as a key pillar of the Digital Bio initiative.
With advances in genome-based technologies and the accumulation of biological data, the paradigm of biotechnology R&D is shifting from discovery (genome decoding) to invention (genome synthesis). This transformation is redefining how we understand, engineer, and harness biological systems.
The convergence of biotechnology with digital, AI, and robotic automation technologies is enabling faster, large-scale, and cost-effective innovation — overcoming the traditional limitations of bio R&D. These developments are unlocking vast industrial applications across environmental, pharmaceutical, chemical, and energy sectors, paving the way for the creation of entirely new markets.
Through a next-generation educational system that fuses biology, AI, and engineering, the KAIST Graduate School of Engineering Biology aims to cultivate world-class “Engineering Biologists” — professionals equipped with quantitative, system-level, and integrative thinking and skills to lead the global transformation of the bioeconomy.