We believe that modeling biology is becoming solvable.
Most diseases still have no cure. Getting a new medicine approved takes more than a decade and around a billion dollars. Seven of eight programs fail, often because the target never caused the disease.
Non-causal targets get picked because no one can see the whole disease. A disease is a complex system: thousands of genes, cells, and signals pushing on each other, with more states than any experiment can enumerate. To find a cause, you have to model this biological complexity.
To make this happen, we must bring together biology, machine learning, data engineering, and mathematics of complex systems. This is the Theorema team.
Founded by
Founder & CEO
Founded Stories, the graph-AI company acquired by Workday in 2018; later led augmented analytics at Workday. Served on the boards of several AI companies.
Co-founder & CTO
Led ML and AI-agent engineering at Workday. Research background in applied mathematics and medical image reconstruction.
Science
Lead Scientist
Target-discovery scientist with experience at BenevolentAI and Cancer Research UK Manchester Institute.
Scientist
Builds autonomous research systems combining AI and experimentation. Oxford PhD; research at Glasgow and ETH Zürich.
Scientist
PhD in machine learning and bioinformatics. Research at Stanford, ETH Zürich and CTU; published at ICLR and in Nature Catalysis.
Investor & Advisor
Former General Manager at BioNTech, with 20+ years in life sciences, including Amgen, Kite Pharma and Takeda.
Team
Senior AI Engineer
Data-science and AI engineering at Merck Research Labs, Workday and Deepnote.
Senior AI Engineer
Led enterprise AI and data products at Workday and Citrix, and data-science teams at O2.
Partnerships, Chief of Staff
Former partner at Presto Ventures, with a background in M&A at Ernst & Young.
The Theorema team comes from
Backed by
