Summary
Safa Alver is a PhD candidate and research assistant at Mila and McGill University with 11 years of experience bridging electrical engineering, physics, and machine learning research. Her primary focus is reinforcement learning, where she combines rigorous academic training with hands-on experimental work since joining Mila in 2019. With dual undergraduate backgrounds in physics and electrical & electronics engineering and a master’s in electrical engineering, she brings strong cross-disciplinary intuition for modeling complex systems. Based in Montreal and originally from Turkey, she leverages international perspective and long-term research commitment to tackle foundational problems in RL. An understated strength is her ability to translate theoretical insights into reproducible experiments, making her work valuable for both academic and applied ML audiences.
11 years of coding experience
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at Orta Doğu Teknik Üniversitesi / Middle East Technical University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at McGill University