Modular therapies engineered for immune activation
We build best-in-class immunotherapies for cancer patients by testing millions of candidates to find the best therapies.
Today, immunotherapies require trade offs between speed, cost, and quality
It's difficult to predict clinical efficacy today. Development is done at low throughput at great expense, while patients wait. Most developers focus on protein binding, not immune response.
HIGH THROUGHPUT LAB
Screening and testing millions of candidates directly in cells
We screen millions of candidates in living cells, rapidly generating and testing vast libraries of modular proteins to see which designs best induce an immune response.
Screening at scale produces previously inaccessible data that fuels our ML platform to identify optimal therapy designs – beyond just binding.
MACHINE LEARNING
Designing better therapies with generative modeling
Our ML platform analyzes protein structures to find patterns impacting the quality of therapies, then iterates across designs to maximize performance.
Connecting data from different disease states improves our grasp of the immune system, strengthening decisions across projects.
Data + ML = Better Faster Immunotherapies
Engineering for immune activation with unequaled speed
Screening and engineering at scale helps us build best-in-class therapies in only months, so partners can move faster to the clinic.
Medicines reach patients much faster, with a better chance of curing disease.
Meet the Coding Bio team
Simon Bornschein
Co-founder, CEO
Simon has a PhD in Immuno-Oncology and is an expert in Cell Therapy and the development of new and innovative CAR therapies. Previously he worked at Celyad, developing novel anti-cancer CAR therapies, and Quell Therapeutics, focusing on engineering immunosuppressive cells to prevent autoimmune diseases.
Yulia Lampi
Co-Founder, CSO
Yulia holds a PhD in Molecular and Cell Biology, and has a wide range of cell therapy and industry experience. Her prior work with Aelin Therapeutics and Quell Therapeutics inspired her to co-found Coding Bio.
Nils Hammerla
VP OF ENGINEERING
Nils holds a PhD in Computer Science and has 15 years of experience in applying ML across a wide range of applications from computer vision to recommendation systems. Previously he has been leading ML research teams at Twitter and Babylon Health.
About Coding Bio
We’ve merged biology and computer science to build a model of the immune system and engineer lifesaving therapies.
Build with Coding Bio
Join Coding Bio and help deliver the next generation of personalized therapies to patients. We are looking for computational and scientific professionals at every career stage who can help us build best-in-class modular protein therapies.
