The Work Process
We aim to provide computational tools that simplify and speed up day-to-day research.
User-friendly
Our assets can be used without specific data science expertise.
Lightweight
We make tools that can run in the browser or on standard computers.
Precomputed datasets
We provide a number of predictions off the shelf to reduce computational burden.
Modular
Complex pipelines can be build by assembling multiple AI/ML assets.
Clean code
Our code is well organised, documented, readable and open.
Support
We work hand-in-hand with our collaborators and users.
Pinned projects
Ersilia Model Hub
The largest repository of AI/ML models for Global Health
Open Source Malaria Series 4
Design and synthesis of new antimalarials
Automated modeling for low-resourced settings
Building state-of-the-art AI/ML models with no need for expertise
Virtual screening of African natural products
We predict the activity of >20,000 plant ingredients from African flora
Code repositories
Browse a selection of our GitHub repositories to find more about specific projects, read the code and contribute!
Grant applications
We work as openly as possible. See our successful, unsuccessful and pending grant applications.