We spearhead systematic research into genomic intelligence, computational oncology, and the digital architecture of the life sciences — to push boundaries and make discovery more accessible.
Our research spans three interconnected domains, each designed to amplify the other and accelerate discovery in the life sciences.
Synthesizing fragmented scientific knowledge into structured digital architectures to support evidence-based research. This domain encompasses encrypted storage of information in nucleotides, BLAST-free genome search, genome-based cryptography, and population-level toxicity assessment.
Developing predictive models and neural frameworks to simulate and optimize complex biological systems. Research directions include high-resolution species barcoding, tissue-type detection via RNA profiling, AI-driven cancer type and disease-stage identification, and forensic genomics.
Translating biological concepts into designable systems through biocomputational modeling and functional engineering. Applications span genome predictive modelling, synthetic gene construction, phylogenomics, biomarker discovery, and experimental feature learning.
Our research programs bring together researchers, developers, and domain experts to tackle specific challenges in the life sciences.
Explore our peer-reviewed papers, preprints, and technical reports detailing our latest breakthroughs.