Nasim Abdollahi

Nasim Abdollahi is a Staff Scientist – Machine Learning Specialist at the Acceleration Consortium, leveraging AI and machine learning to develop self-driving laboratories that accelerate scientific discovery in drug design and formulation development. With nearly a decade of research and development experience, she specializes in deep learning, active learning, graph neural networks, and generative models, with a focus on multimodal and multi-omics data integration across biomedical imaging, structural biology, and drug discovery.

Nasim holds a Ph.D. in Electrical and Computer Engineering, along with M.Sc. and B.Sc. degrees in Bioelectric/Biomedical Engineering. Previously, she was a Sub-system Lead Engineer at General Motors’ Canadian Technical Centre, and a postdoctoral fellow collaborating with the University of Toronto’s WangLab, the Vector Institute for AI, and Cyclica on AI-driven drug discovery research.

Passionate about technical community building, Nasim has served as Chair and Vice-Chair of IEEE Canada Women in Engineering and is currently Vice-Chair of IEEE Toronto’s Engineering in Medicine and Biology Society. Her contributions have earned her multiple recognitions, including the Emerging Leader Award and the IEEE Canada Women in Engineering of the Year Award for excellence among young women engineers.

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