THE STANDARD MODEL FOR BIOLOGY
We are the Standard Model for biology.
​We do for biomedicine what mathematics did for physics.​
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We're a technical team with a history of delivering state-of-the-art foundation models in medical imaging, language, genomics, and pathology for biomedical applications.​
A universal patient representation, from any modality to any outcome
Kevin Brown
CEO & Co-Founder
Kevin previously led oncology foundation model development at Bristol Myers Squibb and federated learning R&D at Siemens Healthineers.
His publications span computational neuroscience, state-of-the-art medical imaging foundation models, and the use of LLM's for clinical outcome prediction in top-tier machine learning venues.
Arda Pekis
CTO & Co-Founder
Arda has built foundation models for genomics, textual data, and medical images.
He has led the technical development of groundbreaking biomedical AI development through FDA clearance of breast cancer software.
Zekai Chen
Chief Scientist & Co-Founder
Zach pushes the boundaries of artificial intelligence to solve complex real-world problems. He has produced state-of-the-art foundation models in radiology, digital pathology, LLM's, and federated learning. He built the first application of language models to oncology prognosis.
Zach previously built foundation models at JPMorganChase and Bristol Myers Squibb.
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David Laub
AI in Bio Fellow
David is a computational biologist leveraging artificial intelligence to model gene regulation across cancer evolution for more accurate clinical predictions.
He is building the world’s first foundation model trained on tumor genomes. His work characterizes cancer from its smallest molecular scales to its largest population-level properties.
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Shaun Porwal
Founding Engineer
Shaun builds secure multimodal AI systems for biomedical research. At Memorial Sloan Kettering Cancer Center, he developed a vision-LLM agent to accelerate radiology workflows and led statistics for a landmark testicular-cancer study that reshaped post-chemotherapy surgical guidelines, published in Annals of Oncology.
Shaun authored the Python Decision Curve Analysis library dcurves and actively contributes to open-source.