Deep Learning · Robustness · Efficiency

I study how neural networks learn, generalise, and scale.

I'm Dhananjay Tomar, a deep-learning researcher working on robust representation learning and efficient model design. I study how models can generalise across domains, process inputs too large for GPU memory, and remove redundant computation—often through challenging problems in computer vision and computational pathology.