Bridging biology and computation. Analyzing genomes, modeling proteins, and building the future of healthcare.
Genomics, sequence analysis, data pipelines
Molecular dynamics, system modeling
Diagnostics, imaging, drug discovery
Genetic circuits, biological design
The Biotech domain explores the intersection of biology, medicine, and computing. Computational tools to understand and engineer biological systems.
From genomic data analysis to protein structure prediction. Cross-disciplinary collaboration on complex problems.
AI is opening unprecedented research opportunities in biotechnology. These are the frontiers waiting to be explored.
Beyond static structures — predicting how proteins fold, move, and interact in real cellular environments. Understanding allosteric regulation and conformational changes.
Integrating genomics, proteomics, metabolomics, and imaging data into unified models. Learning representations that capture the complexity of living systems.
Designing novel antibodies, enzymes, and therapeutic proteins from scratch. Moving beyond natural sequences to engineer molecules with desired properties.
Designing genetic circuits and metabolic pathways. Predicting emergent behavior in engineered biological systems before building them in the lab.
Building computational models of individual patients. Simulating drug responses and disease progression to enable truly personalized treatment strategies.
Moving beyond black-box predictions. Developing AI that reveals underlying biological mechanisms and generates testable hypotheses.