Research Project
Reinforcement Learning for Antimicrobial Resistance Microscopy Analysis
Using reinforcement learning to decide when to analyse bacterial cultures more closely for signs of antibiotic resistance.
Research question
How can a reinforcement learning agent allocate computational resources while monitoring bacterial cultures under antibiotic stress?
Approach
The project explores adaptive monitoring to identify resistance events early while avoiding unnecessary processing. It brings together reinforcement learning, computer vision and time-series analysis.
Technical focus
Python, reinforcement learning, computer vision and time series.