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Transforming drug discovery into measurement-driven drug design

The pace of drug discovery is limited by the complexity of biology. Experimental data is king. Yet experimental systems that yield the most relevant data—bespoke assays and animal models—only support testing one drug candidate at a time.
Increasing the number of drugs tested in these representative systems would provide data for learning design principles of drugs with optimal and unique properties in the most challenging disease environments.
Manifold Bio’s mission is to build technology that exponentially increases measurement throughput at all stages of drug development.

Technology

We’re building a protein barcoding platform to bring the power of multiplexed measurement to development of protein therapeutics. These barcodes are engineered for stability, allowing measurement of drug candidates, in mixture, across in vitro and in vivo assays. By increasing the ability to simultaneously track numerous protein designs, we can generate an abundance of data and quickly learn the principles for designing effective and safe biologics in the most relevant systems.

Team

To pursue our mission, we are leveraging our team’s unique expertise in library-guided protein engineering combining DNA synthesis, sequencing, and advanced bioinformatics and machine learning. And we are looking to bring on more folks that are excited about the potential for this entirely new way of engineering biology.

Gleb Kuznetsov
Gleb Kuznetsov
Co-Founder & CEO
PhD, Harvard Biophysics
Pierce Ogden
Pierce Ogden
Co-Founder & CSO
PhD, Harvard Biological Sciences
Shane Lofgren
Shane Lofgren
Co-Founder & Head of Business Development
Bioinformatics, Stanford / MD Anderson
George Church
George Church
Co-Founder
Professor, Harvard / MIT
Kate Nudel
Kate Nudel
Principal Scientist
Postdoctoral Fellow, Brigham and Women's
PhD, Boston University Molecular Medicine
Hoong Chuin Lim
Hoong Chuin Lim
Senior Scientist
Postdoctoral Fellow, Harvard Medical School
PhD, Yale Molecular Biophysics and Biochemistry
Eliezer Van Allen
Eliezer Van Allen
Scientific Advisor, Oncology Applications
Professor of Medicine, Harvard Medical School
Clinical Oncologist, Dana Farber Cancer Institute
Ryan P. Adams
Ryan P. Adams
Scientific Advisor, Machine Learning
Professor of Computer Science, Princeton

Careers

We’re looking for talented scientists and engineers to join us in building great technology. We use next-generation DNA sequencing, DNA synthesis, molecular cloning, and computation in entirely new ways. Excited about the vision, but don’t see the exact fit? We’d like to hear from you either way: careers@manifold.bio