Anirbit Mukherjee

Anirbit Mukherjee is a Lecturer in Machine Learning at the Department of Computer Science, University of Liverpool, specializing in the mathematics of neural networks and deep learning. His work intersects with the Institute for Data Science and AI and contributes to the UN Sustainable Development Goals in education and academic innovation.

His research focuses on theoretical aspects of neural networks, including partial differential equations (PDEs), stochastic optimization, and physics-informed neural networks (PINNs). Recent publications analyze global convergence of SGD, generalization bounds for operator networks, and PINN performance on PDEs with boundary/initial conditions.

Scientific awards include:

• Inaugural MINDS (JHU) Data Science Fellowship (2019)
• Walter L. Robb Fellowship (2018)

Anirbit collaborates with teams in the Centre for AI Fundamentals (MCAIF) and engages in peer-review for journals like Annals of Statistics. His expertise spans neural network theory, PDE-solving algorithms, and mathematical foundations of machine learning.