Jeffrey West

Jeffrey West develops multi-objective optimization frameworks for adaptive therapy that balance tumor burden reduction, quality of life, and evolutionary resistance risk, applying Stackelberg game theory and reinforcement learning approaches to identify optimal treatment schedules that outperform fixed dosing protocols. His research at Moffitt Cancer Center has demonstrated that machine learning approaches can discover novel treatment strategies that are non-intuitive to human clinicians but achieve superior evolutionary control of resistant populations. His work is advancing adaptive therapy from simple on-off dosing toward sophisticated, algorithmically optimized treatment protocols.