🏗️🧬 Synthetic Biology foundations and infrastructure
Architecting the foundations and infrastructure of synthetic biology, including standards, distributed databases, and modular software ecosystems for a computer-aided DBTL cycle, …
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🤖🧑🏻🔬 Automated, modular, and scalable data-driven DBTL workflows
Developing automated, scalable workflows that leverage robotics, software, and cloud platforms to deliver programmatic DBTL pipelines for advanced biological engineering, …
🖥️🧠 AI/ML, mechanistic, and hybrid models for computer-aided biological engineering and research
Developing hybrid predictive models that combine mechanistic simulations with modern Artificial Intelligence (AI), including context-aware graph neural networks (GNNs) and agentic …
⚙️🦠 Biophysical and biochemical simulation engines
Developing biophysical and biochemical simulation engines to model the spatiotemporal interactions of microbial communities and their interactions with multicellular hosts, …
🧬🔧 Engineer genetic and genomic networks for intelligent biological systems
Use the developed infrastructure to design genetic networks for biocomputing using genetic logic circuits, in-vivo AI, and other unconventional computing such as phase-based …