Speakers

Saanjali Maharaj
Institute for Aerospace Studies, Faculty of Applied Science and Engineering, University of Toronto

Maharaj is a 4th year PhD candidate in the Decision Analytics for Computational Engineering (DACE) Research Group, led by Professor Prasanth B. Nair. Her work focuses on the development of novel neural network architectures designed to overcome the mathematical and structural limitations of standard machine learning models. Her current research explores the integration of low-rank tensor decomposition theory into deep learning to create highly expressive, parameter-efficient architectures. Saanjali is particularly interested in designing adaptive models that mitigate the curse of dimensionality and spectral bias in complex systems. She has applied these architectures to a diverse range of computationally intensive challenges, including scientific machine learning for partial differential equations (PDEs), inverse problems such as sparse-view medical image reconstruction, and high-fidelity continuous image and audio signal representation.