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.


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.


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

    Co-Founder & CEO
    PhD, Harvard Biophysics

  • Pierce Ogden

    Co-Founder & CSO
    PhD, Harvard Biological Sciences

  • Shane Lofgren

    Co-Founder & Head of Business Development
    Bioinformatics, Stanford / MD Anderson

  • George Church

    Professor, Harvard / MIT

  • Kate Nudel

    Associate Director, Head of Applied Biology
    Postdoctoral Fellow, Brigham and Women's

  • Hoong Chuin Lim

    Associate Director, Head of Barcoding Platform
    Postdoctoral Fellow, Harvard Medical School

  • Anisha Anand

    Research Associate
    BS, Purdue Biotechnology

  • Karen Duffy

    PhD, MRC Laboratory of Molecular Biology

  • Alex Reis

    PhD, Penn State University

  • Alvaro García

    Senior Scientist
    Assistant Professor of Clinical Neurobiology in Psychiatry, Columbia

  • John Avera

    Associate Scientist
    BS, Indiana University Microbiology, Japanese

  • Roasa Mehmood

    Associate Scientist
    MS, USC Biochemistry and Molecular Medicine

  • Molly Zawacki

    Operations Associate
    BSE, UPenn Chemical and Biomolecular Engineering

  • Jeffrey Chang

    Biophysics / Statistical Modeling Consultant
    PhD Candidate, Harvard Physics


  • Eliezer Van Allen

    Scientific Advisor, Oncology Applications
    Professor of Medicine, Harvard Medical School

  • Ryan P. Adams

    Scientific Advisor, Machine Learning
    Professor of Computer Science, Princeton


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: