Tatta Bio is building artificial intelligence that fundamentally reimagines how scientists interface with genomic information. Tatta Bio's platform unlocks the functional diversity of biology to accelerate the discovery and deployment of sustainable biosolutions by leveraging advances in unsupervised learning and an exponentially growing sequence database.
FELLOWS
Yunha Hwang is the co-founder and CEO of Tatta Bio, a scientific nonprofit building AI models, tools, and datasets to accelerate biotechnology research and development. She is passionate about unlocking the potential of uncultivated microbes for sustainable biosolutions. Hwang is a computational biologist by training, with a B.S. in computer science from Stanford University and a Ph.D. in biology from Harvard University. Previously, she was the head of data at a fungal biotechnology startup.
Andre Cornman is the co-founder and CTO of Tatta Bio. Cornman is a machine learning researcher with experience building deep learning models for genomics and robotics. Previously, Cornman was a senior software engineer at Waymo Research. Cornman earned a B.S. and M.S. in electrical engineering from Stanford University.
TECHNOLOGY
Critical Need
Genomes are the source code for all biological organisms, yet our inability to readily interpret the “genomic language” severely limits our capacity to harness biology. Less than one percent of sequenced genes have validated function, which means the vast majority of functional diversity of biology remains undiscovered. We need an unbiased and high-throughput approach to interpret the biological source code.
Technology Vision
Tatta Bio is building a genomic language model trained on diverse and largely uncultivated microbial genomes. This approach combines principles of evolutionary biology with the latest advances in unsupervised deep learning to elucidate the underlying information structure of genomic language. Tatta Bio's platform learns the semantics and syntax of genomic information to interpret, discover, and design genomic sequences across the tree of life.
Potential for Impact
Biology, particularly microbes, drives the synthesis and recycling of materials on Earth. The ability to discover and engineer non-model organisms will allow the deployment of novel pathways to fuel bioeconomy. Existing discovery and design methods are time- and resource-intensive, slowing the progress in industrial biotechnology. Tatta Bio aims to build foundational tools to accelerate innovations toward circularity and sustainability.
Website
Tatta Bio
Twitter
@tatta_bio