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We stand at the cutting edge of biological innovation by bridging the gap between data-driven insights and physical biological systems. Our mission is to transform the complexity of life into programmable and predictable engineering through a unique synergy of Systems Biology, Synthetic Biology, and Artificial Intelligence.
We operate along two fundamental axes that drive the cycle of modern biotechnology:
1. Life Information (In Silico: Discovery & Prediction)
We decode the vast "code" of life to identify actionable biological patterns.
AI-Driven Drug Discovery: Developing high-fidelity machine learning models to predict therapeutic targets, drug toxicities, pharmacokinetics, and clinical efficacy, with a specific focus on neurological disorders such as neurodegenerative diseases and epilepsy.
Systems Biology: Constructing computational models to unravel the fundamental biological principles governing complex physiological states.
2. Life Engineering (In Vivo/Vitro: Design & Build)
We re-engineer biological systems to solve real-world challenges.
Synthetic Biology & Genetic Circuits: Engineering sophisticated genetic control elements and regulators to program bacterial behaviors with high precision.
Metabolic Engineering: Harnessing microbial metabolism to synthesize high-value biochemicals and develop sustainable bioremediation technologies.
Microbiome & Next-Gen Probiotics: Enhancing beneficial bacteria for advanced therapeutic and health-promoting applications.
Our Vision: From Code to Cell
Our philosophy is simple yet profound: Understand, Design, and Build. We believe that biological systems are information-rich platforms. By decoding life's information, we create the blueprints for the next generation of life engineering. Whether it is developing a life-saving drug or engineering a "smart" bacterium, our goal is to provide innovative solutions for human health and a sustainable future.
Join Our Journey
We are always looking for passionate researchers—from biologists and chemists to computer scientists—who want to push the boundaries of what is possible. If you are interested in the fusion of AI and Biology, join us in our journey from Code to Cell.
Outstanding Oral Presentation Award (2025)
Kha Mon Tran was awarded the Outstanding Oral Presentation Award at the 2025 International Meeting of the Microbiological Society of Korea, held in Suwon, South Korea.
Nucleic Acids Research (2025)
DNA timer genetic circuit to control the lifespan of bacteria for safe and reliable bioremediation
ACS Synthetic Biology (2024)
Design principles for reliable and robust synthetic small regulatory RNAs
Bioinformatics (2023)
Quantitative machine learning model for predicting LogBB (Blood-brain barrier permeability) of chemical compounds