Reinforcement Learning with Language Models for Multi-Objective PROTAC Optimization
MSc Thesis, Chalmers University of Technology & University of Gothenburg, 2026
Alexander Persson and Felix Erngård — Chalmers University of Technology and University of Gothenburg, 2026. Examiner Rocío Mercado.
Generative design of complete PROTACs: using language models with reinforcement learning to optimise heterobifunctional degraders against several objectives at once, rather than tuning one component in isolation.
See Supervision for the full list of MSc theses I’ve supervised.