Elaheh Toulabinejad is a Machine Learning Resident at Amii, where she develops machine learning models for time-series forecasting and decision support. Her work centers on helping organizations make sense of complex, evolving data, translating patterns into insights that inform real-world decisions.

Elaheh is also completing her MSc in Computing Science at the University of Alberta under the supervision of Dr. James R. Wright. Her research explores multi-agent reinforcement learning and how intelligent systems can learn to adapt, make decisions, and cooperate in dynamic and uncertain environments. She brings a broad background spanning deep learning, Bayesian and statistical modeling, and computational neuroscience, along with experience building end-to-end machine learning systems across both research and industry.

Outside of work, Elaheh enjoys books and films, caring for her plants, traveling, spending time in nature, and being with family and friends.