Recursion Launches Valence Labs with a Commitment to Open Science Including $1M in Academic Scholarships

Recursion, a clinical stage TechBio company decoding biology to industrialize drug discovery, launched Valence Labs which will serve as a machine learning research laboratory focused on developing the next generation of cutting-edge methods and models for drug discovery and consists of the emerging ML research teams at Recursion and the team at Valence Discovery, which Recursion recently acquired.

“We believe there is a generational opportunity—enabled by the unprecedented combination of Recursion’s scale, computing power, and industrialized data generation capabilities unconstrained by one-off, rate-limiting, manual experimentation—to rewrite the rules of therapeutic discovery,” said Dan Cohen, President of Valence Labs. “We’re building future-forward tools, models and benchmarks that we believe will set the standard for machine learning research across the rapidly growing techbio industry, while fostering community through open science and academic research.”

At its launch event, Valence Labs committed to investing up to $1 million in academic-oriented initiatives to develop talent in machine learning research. This will include Valence Scholarships to support the pursuit of more academic research at the intersection of artificial intelligence and biology, and Valence Fellows for outstanding students with a track record of community engagement and/or publication in the field of machine learning for drug discovery, who will receive larger financial support and access to Valence Labs resources to enable their research.

"Recursion believes in the power of open-science initiatives and wants to invest in rising talent and academic collaborations. We are also committed to upholding our legacy of contributing significant datasets and tools for research purposes," said Chris Gibson, Ph.D., Co-founder and CEO of Recursion. "We believe Valence Labs can serve as a beacon and gathering place for the research community, becoming a magnet for incredible talent who will contribute to groundbreaking discoveries and harness computation to radically improve

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