Workshop: Artificial Intelligence for Evolutionary and Conservation Biology
A five-day workshop on machine learning, Bayesian neural networks, explainable AI and reinforcement learning applied to evolutionary and conservation biology, led by Dr. Daniele Silvestro (ETH Zürich). December 14–18, 2026, at Universidad San Sebastián in Concepción.
The Vice-Rectorate for Research and Doctoral Studies (VRID) and the Faculty of Veterinary Medicine of Universidad San Sebastián invite you to the workshop Artificial Intelligence for Evolutionary and Conservation Biology, a program to build Latin American capacity in machine learning, Bayesian neural networks, explainable AI and reinforcement learning.
Dates: December 14–18, 2026, 09:00–17:00 (activities until 18:00)
Venue: Auditorio Gladys Matus, Universidad San Sebastián, Campus Las Tres Pascualas, Concepción, Chile
Lead instructor: PhD Daniele Silvestro, Department of Biosystems Science and Engineering, ETH Zürich, Switzerland
Local coordinator: Dr. Cristián E. Hernández
Program
- Mon 14: Foundations of machine learning for evolutionary biology (unsupervised, supervised and reinforcement learning)
- Tue 15: Neural networks and explainable AI
- Wed 16: Bayesian neural networks and simulation-trained deep learning
- Thu 17: Reinforcement learning for ecosystems and conservation planning
- Fri 18: LLM-assisted coding, projects and collaboration
Format: lectures, hands-on Python practicals and project clinics. Teaching language: English.
Audience: MSc and PhD students, postdocs and early-career researchers.
Registration: open until November 16, through the online registration form or the QR code on the poster below. Questions: cristian.hernandez@uss.cl.
Supported by ANID, FONDECYT 1240219.