COMPANY
About Apheris
Apheris operates the industry’s federated data networks and runs no drug programs of its own. Models are trained across industry-wide proprietary data, then delivered to run and fine-tune securely, where your data lives.
WHAT WE DO
From federated models to drug discovery decisions
We turn the industry’s proprietary data into models no public dataset can match, then deliver them into your own environment, to run, fine-tune, benchmark, and sharpen with every DMTA cycle.
Federated networks
Members contribute proprietary data to a shared network. Training runs inside each member’s own environment; only model weights are ever aggregated.
Neutral by design
Apheris operates the networks and runs no drug programs of its own. Pharma build with us because we don’t compete with them.
Adopted through Foundry
The advantage reaches your programs through Foundry, the platform your teams run in-house to put these models to work across the DMTA cycle.
LEADERSHIP
Meet our founders

Robin Röhm
Co-Founder & CEO
Robin studied medicine, philosophy and mathematics and was trained in global banking at UBS. In a previous start-up, he lost multiple customers as data could not be centralized due to regulatory constraints. He drives the vision, strategy, and culture of Apheris.

Michael Höh
Co-Founder & CTO
Michael has a PhD in physics and computer science and was trained at BCG, where he built digital solutions and AI applications for industrial clients. As CTO he leads platform architecture and design, the engineering target picture, technical customer commitments, and contractual scoping.
SCIENTIFIC ADVISORY BOARD
Guided by leaders in drug discovery and computational science
Our Scientific Advisory Board brings together leaders from academia, biotech, and pharma who have shaped drug discovery and computational science. With decades of combined experience in AI, molecular modeling, and building world-class research organizations, they guide our scientific strategy.

Dr. Woody Sherman
Founder & Chief Innovation Officer, PsiThera
Integrates computational methods with wet-lab experiments to design therapeutics for targets long considered undruggable. Original architect of the QUAISAR platform, 100+ peer-reviewed publications; formerly Silicon Therapeutics, Roivant, and Schrödinger. PhD in Physical Chemistry, MIT.

Dr. Richard Bickerton
Co-Founder, Exscientia
Co-founded Exscientia and helped build its AI-first discovery platform, later acquired by Recursion. Background spans cheminformatics, large-scale ML systems, and data science, with experience across technology, biotech, and company building.

Dr. Andreas Bender
Professor of Machine Learning in Medicine, Khalifa University
Former Professor of Molecular Informatics at Cambridge; senior roles at AstraZeneca and Nuvisan in data science and AI. Co-founder of Healx and PharmEnable and former CITO at Pangea Bio, with programs in clinical development.

Dr. Mohammed AlQuraishi
Assistant Professor, Columbia University
His lab in the Department of Systems Biology develops AI models for protein structure, function, and protein–ligand interaction. Built OpenFold, the leading open-source structure prediction model, and is spearheading OpenFold3.

Dr. Pamela Carroll
Former COO, Isomorphic Labs
Executive leadership roles across pharma and biotech, including business development at Roivant and J&J, and scientific leadership in oncology at Roche and Merck. Recognized for integrating emerging platforms to accelerate discovery of novel medicines.

Dr. Darren Green
Former Head of Cheminformatics, GSK; Hon. Professor, UCL
More than three decades applying advanced computational methods to drug discovery across therapeutic areas. A pioneer in applying federated learning to drug discovery ML, including as part of the MELLODDY project.

Dr. Joseph Lehár
Entrepreneur; former SVP R&D Strategy, Owkin
Led computational biology and bioinformatics groups across major pharma and biotech, including senior roles at Owkin, Merck, J&J, and Google. Work spans collaborative R&D models, translational science, and data-driven discovery.
OUR BACKERS
Backed by top investors




ANGELS





WHERE TO FIND US
Events we’re joining
SEP
14–16
10th RSC-BMCS Fragment-Based Drug Discovery
CAMBRIDGE
Neann presents a flash talk and poster on improving co-folding accuracy for fragment-based discovery. Iva Lukach chairs the meeting.
SEP
16
Datapoints Summit
BOSTON
Robin Röhm presents “Driving Value in Federated Learning Networks” at Ginkgo Datapoints’ annual summit.
OCT
01
DeCaF Workshop at MICCAI 2026
STRASBOURG
Evelyn Trautmann gives the keynote on federated analytics across distributed clinical datasets.
NOV
11–12
Drug Discovery Chemistry Europe
BARCELONA
Iva Lukach presents and joins the panel on AI and machine learning for drug discovery.
OUR CULTURE
Built on our core values
Impact
We are driven by impact and strive for the impossible.
Collaboration
Through collaboration, we create a whole that is far greater than the sum of its parts.
Responsibility
We are responsible together and commit to ownership.
Humility
We have the humility and hunger to learn.
WORK WITH US
We’re looking for diverse and talented people
If you want to help build the infrastructure for collaborative drug discovery AI, we’d love to hear from you.