Martina Occhetta

Profile

Project Title: Target identification from multi-omics data using systems biology and machine-learning approaches

Summary: Target identification is one of the most crucial initial steps in drug discovery, and influences the probability of success at every step of drug development. This project seeks to devise supervised learning models  that can accurately predict how individual genes and proteins respond to chemical perturbations. Through this work, we aim to identify potential new drug targets, paving the way for advancements in the development of therapeutic strategies.

Supervisor:

• Prof Conrad Bessant

Research