East Africa Workshop

4-day workshop on the use of AI for Drug Discovery delivered by the H3D Foundation and Ersilia in Nairobi, Kenya, on July 2025

Course overview

Each day is organised in four main activities:

• Keynote Lectures: a presentation by H3D and Ersilia mentors and invited speakers, introducing key concepts that we will put into practice during the day

• Skills Workshop: a hands-on training where the course facilitators will walk the participants through a specific ML exercise

• Breakout: participants will be divided in small groups to complete an exercise related to the skills workshop

• Group Discussion: each group will give a short (10 min) presentation on their breakout activity.

Course Contents

Activity	Session 1	Session 2	Session 3	Session 4
Keynote	Slides A Slides B Slides C	Slides A Slides B	Slides A App	Slides A Slides B
Skills development	App Slides	Slides	App Slides	App Guide
Breakout	App Slides Guide	Slides Publications Guide	App Slides Guide	Reflection

After the course, the apps will remain active on Streamlit Cloud and also available for local deployment from GitHub. Please keep in mind that these are apps built for the course, and might not be suitable to apply directly to a research project. Contact Ersilia for more!

Important links

In case you need further information to follow the course, be sure to check the following:

• Ersilia Model Hub: list of all available models.

• Ersilia Model Hub: self-service on GitHub (requires a GitHub account, allows to run online predictions for all models).

• Ersilia Model Hub: fast online deployment for selected models.

• Ersilia Model Hub: local installation documentation (only expert users).

• Code for the Skills Development Apps on GitHub.

• Publications referred to during the workshop.

• Datasets required for the workshop.

All course contents belonging to Ersilia or the H3D Foundation are released under a CC BY-SA 4.0 license and the code is available under a GPLv3 license.

Funding

This workshop is part of the Schmidt Sciences AI2050 Fellowship awarded to Prof. Kelly Chibale.